- Comp-neuro - lists.cnsorg.org

Brain Connectivity, Dynamics, and Complexity--please submit abtracts--deadline extended

by Stephen José Hanson

We are still looking for a few more submissions especially related to Resting state and fMRI..theoretical papers as well. The deadline is extended for submission till Aug 1. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… send queries through the website. thanks. Steve Hanson -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

July 9, 2021

Post doc in Cognitive-Computational Modelling at UCL (Dominik Bach) in collaboration with MPI Tübingen (Peter Dayan) - 1 week left to apply

by Dominik R. Bach

*Post doc in Cognitive-Computational Modelling at University College London: discrete and continuous human action control under threat* We are looking for a research fellow in an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dominik Bach (http://bachlab.org <https://eur01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fbachlab.or…>) at University College London in collaboration with Peter Dayan, Max-Planck-Institute for Biological Cybernetics in Tübingen (https://www.kyb.tuebingen.mpg.de/de/computational-neuroscience <https://www.kyb.tuebingen.mpg.de/de/computational-neuroscience>). The position will be based at Max-Planck UCL Centre for Computational Psychiatry (https://www.mps-ucl-centre.mpg.de/en <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.mps-u…>) and Wellcome Centre for Human Neuroimaging (http://www.fil.ion.ucl.ac.uk/ <http://www.fil.ion.ucl.ac.uk/>). The overarching goal of the project is to understand the cognitive-computational control of human action selection under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will build explicit computational models of discrete and continuous action control and action updating under constraints of time pressure and unaffordable costs. These will be tested by the experimentalists in our interdisciplinary team, composed of VR experts, psychologists, and movement scientists. There is a possibility to get involved in the experimental work, including behavioural experiments, motion capture and OPM-MEG. Within the topical focus, the project offers unique freedom to explore and develop novel directions and formalisms at the interface of classical discrete-space decision models and continous action control. We seek applicants with established cognitive-computational modelling skills and a PhD in computational neuroscience, robotics with focus on action planning, computer science/mathematics/physics with a focus on decision science, or in a related area. We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for personal and career development this position can provide. The post is available from October 2021 and funded for up to 3 years with initial appointment for 1 year. Starting salary is on UCL grade 7, ranging from £36,028 to £43,533 per annum, inclusive of London Allowance, superannuable. More information and access to the UCL online application portal: https://is.gd/VwTJCA <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fis.gd%2FV…> Please contact d.bach(a)ucl.ac.uk <mailto:d.bach@ucl.ac.uk> for any queries about the project or role. *Closing date: 16 July 2021* Interviews will be held remotely in July. Apologies for cross-posting. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow Max Planck UCL Centre for Computational Psychiatry and Ageing Research Wellcome Centre for Human Neuroimaging, University College London http://bachlab.org | @bachlab_cog

July 9, 2021

Postdoctoral positions: modeling, imaging, and optogenetics (Boston U School of Medicine)

by Christina M. Weaver

Postdoctoral positions in modeling, imaging, and optogenetics (Boston University School of Medicine) The Luebke & Medalla labs (Dept. of Anatomy & Neurobiology, Boston University School of Medicine) use state-of-the-art approaches in imaging, immunohistochemistry, electrophysiology, and computational modeling to explore neural mechanisms underlying executive function in the mammalian prefrontal cortex. We seek highly motivated, detail-oriented postdoctoral research fellows to join our interdisciplinary team related to several exciting, federally funded projects. Read more about our research here <https://www.bumc.bu.edu/anatneuro/research/cellular-neurobiology/>. Modeling: This project, led jointly by Dr. Jennifer Luebke, Dr. Christina Weaver (Dept of Mathematics, Franklin & Marshall College, Lancaster, PA), and Dr. Patrick Hof (Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, New York NY), aims to characterize changes in the prefrontal cortex and visual cortex during normal aging in the rhesus monkeys. We seek candidates with experience building differential equations-based mathematical models using MATLAB, Python, and/or NEURON compartmental modeling software. Experience with conductance-based modeling of single neurons or excitatory-inhibitory networks preferred. The successful candidate will build computational models to explore mechanisms of network dysfunction, constrained by our data from aging studies in rhesus monkeys, including new multiplexing data in collaboration with GE Healthcare. Imaging: This project, led by Dr. Luebke and Dr Klaus Wimmer (Centre de Recerca Matemàtica, Barcelona, Spain) and funded by the Collaborative Research in Computational Neuroscience (CRCNS) program, focuses on the computational and neural mechanisms underlying working memory and age-related changes to working memory and other executive function in the rhesus monkey. We seek candidates with an excellent track record using magnetic resonance imaging and image processing techniques to explore scientific questions with high health relevance. The successful candidate will lead analyses of structural MRI (T1 TFE scans), resting state fMRI, and diffusion spectrum imaging (DSI) brain scans to assess brain morphometry and connectivity. Data generated from brain scans will be correlated with behavioral, physiological and other anatomical data collected across the adult life span to inform sophisticated computational models. The project includes unique cross-national training opportunities for researchers in Boston and Barcelona alike. Optogenetics: One project, newly funded by NIH, uses multi-scale neuroanatomical, in vitro, and in vivo electrophysiological, pharmacologic and optogenetic techniques to study inhibitory circuits in the anterior cingulate cortex and lateral prefrontal cortex (ACC and LPFC) of rhesus monkeys, and how limbic input from the amygdala influences communication within the ACC-LPFC network. We seek candidates with expertise in optogenetics, imaging of voltage-sensitive dyes, patch-clamp recording and multiphoton microscopy. The successful candidate will combine anatomical and viral tracing with in vivo electrophysiological recordings in anesthetized preparations, as well as optogenetic stimulation and whole cell patch-clamp recording in in vitro slices, to investigate the cellular and synaptic properties of prefrontal circuits involved in cognitive and emotional control and integration. Each appointment as a Boston University School of Medicine research fellow will be for at least 1 year with the possibility for extension based on performance. Competitive salary based on experience. Interested applicants should attach the following: - A cover letter, - A current CV, - A brief statement of current and future research interests, - The contact information of three references. Please be aware that references may be contacted anytime after receipt of your application. Contact: Dr. Christina Weaver, christina.weaver(a)fandm.edu or Dr. Jennifer Luebke, jluebke(a)bu.edu Christina M. Weaver, Ph.D. Associate Chair of Mathematics Associate Professor Franklin & Marshall College P.O. Box 3003 Lancaster, PA 17604-3003 Email: christina.weaver(a)fandm.edu

July 8, 2021

Call for Visiting Scholars in Theoretical Sciences at OIST (Application by August 15)

by Kenji Doya

We are pleased to announce Visiting Scholars in Theoretical Sciences at OIST for a flexible term of 1 to 12 months as below. ***** As part of an initiative to develop a vibrant program in theoretical sciences, OIST invites applications for Visiting Scholars in the Theoretical Sciences. The Okinawa Institute of Science and Technology (OIST) is a research institution with a Ph.D. program. Outstanding graduate students and faculty are being attracted internationally. OIST is beautifully situated on the tropical island of Okinawa, Japan. Applicants should have a Ph.D. in a relevant field and be independent researchers, i.e., should have an academic standing equivalent to senior postdoc, junior group leader, or faculty member at a research-intensive institution. The position has a flexible term of 1 to 12 months taken continuously starting between October 2021 and March 2022 with a preference for longer-term visitors. The appointment may be taken while on leave or sabbatical from another university and comes with housing, research funds, and moving allowance. Successful candidates will be eligible to apply for support with salary, where this is necessary to facilitate the visit. No teaching duties come with the position. OIST is an institution with no departments, aiming to eliminate barriers between people working in different fields. It provides a family-friendly working environment including the multilingual Child Development Center and has proactive policies designed to promote a culture of diversity. OIST is an equal opportunity, affirmative action educator, and employer. Further details can be found at https://www.oist.jp/. Applicants should submit a CV including a list of publications, a brief description of their research to date and proposed research while visiting OIST, and the desired period of visit. All visits are subject to the availability of funding. Applications received by August 15, 2021, are guaranteed full consideration. If you have any questions, please send inquiries to: tsvp(a)oist.jp To apply, please go to our Interfolio page, http://apply.interfolio.com/88541 ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

July 8, 2021

Announcing free online spiking neural network workshop Nov 8-9, reg & submissions open

by Goodman, Daniel F M

We are delighted to announce the second edition of the "SNUFA" spiking neural network online workshop, taking place this November 8-9. Free registration and abstract submission is now open at http://snufa.net/2021 This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. This year’s executive committee comprises Chiara Bartolozzi<https://www.iit.it/people/chiara-bartolozzi>, Sander Bohté<https://homepages.cwi.nl/~sbohte/>, Dan Goodman<https://neural-reckoning.org/>, and Friedemann Zenke<https://fzenke.net/>. The workshop will take place 8-9 November, 2021. Abstract submission will close 1 October, 2021. The workshop will feature invited speakers: * Tara Hamilton<https://profiles.uts.edu.au/Tara.Hamilton>, University of Technology Sydney * Dylan Muir<http://dylan-muir.com/>, SynSense<https://www.synsense-neuromorphic.com/> * Katie Schumann<https://www.ornl.gov/staff-profile/catherine-d-schuman>, Oak Ridge National Laboratory * Henning Sprekeler<https://www.sprekelerlab.org/henning/>, TU Berlin The format will be: * Two half days (European afternoon times) * 4 invited talks * 8 contributed talks * Poster session * Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided) You can see last year’s talks on Crowdcast<https://www.crowdcast.io/e/snufa2020> or the talks and one of the recorded discussions on YouTube<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy>. This workshop was great fun last year and we had around 700 participants! This year should be even better with your contributed talks and posters. Looking forward to seeing you all there! And please forward this announcement to any colleagues or local distribution lists. Many thanks, Dan, Chiara, Sander and Friedemann

July 7, 2021

Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task

by Mingbo Cai

*Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task* We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 2.5-year postdoctoral position is available at Dr. Mingbo Cai’s lab <https://cailab-ircn.org/> at the International Research Center for Neurointelligence <https://ircn.jp/en/>, The University of Tokyo. You will work on an exciting international collaboration project directed by both Dr. Cai <https://ircn.jp/en/mission/people/mingbo-cai> and Dr. Nicolas Schuck <https://schucklab.gitlab.io/> at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys <https://quentinhuys.com/> at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up until Jan 2024 (future renewal depends on performance and budget), with a probation period of 6 months. Starting date: negotiable Requirements (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: Preferred skills: (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. Application procedure: Please send an email with the title “[Postdoc Application] + your name” to mingbo[doc]cai[at]ircn[dot]jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster or other presentation. Informal inquiry can also be sent to Dr. Cai. Application deadline: The application deadline is July 31. The position will remain open until filled. Review of applications starts as soon as they are received. Mingbo Cai Assistant Professor International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/

July 7, 2021

PhD and Postdoc opportunities in Germany

by Tatjana Tchumatchenko

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group which is now at the University of Bonn is looking for Master Students, PhD Students and Postdocs PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and projects typically involve modelling and data analysis. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD and Postdoc positions are currently open: 1) A PhD position in a project exploring the intersection of protein dynamics and machine learning. This involves analyzing the collective motion of multiple receptors in a cell. 2) A PhD position in project designing models describing protein dynamics in dendrites and analyzing imaging data 3) A postdoc or PhD position in a project addressing the relation between neurological diseases, protein dynamics and network activity. When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-bonn.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

July 6, 2021

Call for applications at the paris Brain Institute

by Jean Daunizeau

Dear colleagues, This is to let you know that the Paris Brain Institute is seeking to recruit a team leader at the starting, junior or mid-career level, working in computational and/or theoretical neuroscience. Please visit this page for more info: https://institutducerveau-icm.org/en/actualite/call-for-applications/ Best regards, Jean Daunizeau. -- Jean Daunizeau Motivation, Brain and Behaviour group (ICM) web: http://sites.google.com/site/jeandaunizeauswebsite/

July 5, 2021

PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning

by Jian Liu

*PhD/Postdoc Positions at the Interface of Neuroscience and Machine Learning* The lab of Dr Jian Liu invites applications for several PhD/Postdoc positions at the interface of computational neuroscience and machine learning, at the School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds. Research projects will involve theoretical analysis, computational modeling, and data analysis, with worldwide collaborations of neuroscience experimentalists, clinicians, and robotic engineers. We are working on a wide range of topics, from fundamental neuroscience questions to robotic applications. For representative examples and publications, please visit: http://jiankliu.github.io Candidates with a quantitative background are welcome. We are looking for highly motivated candidates with a spirit of intellectual adventure. The positions will come with competitive work conditions. Generous traveling budgets are available. Please send the following information in one single PDF, to j.liu9(a)leeds.ac.uk: - Detailed CV with publications; - Letter on motivation and interests; - Other relevant materials of interest; The School of Computing conducts ranging from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation. We are parents with the Alan Turing Institute, the UK’s premier research centre for data science and artificial intelligence. The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine holds the Gold award. We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees. We will make the working patten inclusive and flexible. If female candidates are selected, the maternity leave will be fully guaranteed and the children care responsibilities will be satisfied (e.g. working in part time). We will also actively promote gender equality in education and employment opportunities through workshops, seminars, webinars, and university open days.

July 5, 2021

Job Posting: Scientific Software Developer

by Dr. David Goyer

Dear All, The Institute of Neuroscience and Medicine - Computational and Systems Neuroscience (INM-6) at Research Center Jülich is looking for a Scientific Software Developer for Neural Data Analysis Tools. Full details of the job offer can be found here: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2021-192-E… Application deadline is 25.07.2021. If you have questions regarding this job posting feel free to contact me. Kind regards, David Goyer Dr. David Goyer Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich Germany phone: +49-1756402993

July 5, 2021

PhD student in data science of Parkinson's electrophys data (MEG, DBS, etc) in Dusseldorf

by Dmitrii Todorov

Project Title: Improving deep brain stimulation through artificial intelligence We are looking for a PhD student to join our research project Improving deep brain stimulation through artificial intelligence. In this project, you will collect data from patients using simultaneous MEG and intracranial recordings. In addition, we will obtain kinematic data and anatomical images of the brain using MRI. Besides neuroscientific measurements, data science plays an important role. The project involves the creation of a scientific database and sophisticated data analysis, using dedicated software tools for MEG/MRI and the implementation and application of machine learning algorithms. The doctoral researcher will conduct neuroscientific experiments, analyze and present the data, and prepare publications under supervision, resulting in a PhD thesis. Requirements Master of Science in the natural sciences, computer science or psychology Intrinsic motivation and a passion for brain research First experience in programming and scientific data analysis (mandatory) First experience in at least two of the following: M/EEG, machine learning/AI, local field potential recordings, motion tracking, MRI, scientific databases The project is supported by a five-year grant of the Brunhilde Moll Foundation to Prof. Alfons Schnitzler and Dr. Jan Hirschmann. We offer fixed-term contracts for three years initially, with the possibility of prolongation. Payment accords to the regulations for the German public sector (Tarifvertrag für den öffentlichen Dienst der Länder). The applications should include a statement of research interests and reasons for applying to the project, a curriculum vitae including a list publications, a certificate of the Master’s degree, a copy of the master’s thesis and grades of Master’s level studies, and the names and e-mail addresses of two referees. Please address questions and send applications (pdf only!) to Jan.Hirschmann(a)med.uni-duesseldorf.de See full details here https://www.uniklinik-duesseldorf.de/en/institute-of-clinical-neuroscience-… -- Best regards, Dmitrii Todorov Postdoc Institute for Clinical Neuroscience and Medical Psychology Dusseldorf University Clinic

July 5, 2021

Deadline extension Call for Papers Special Issue IEEE TCDS

by Bruno Lara

Dear all; The call for papers for our special issue has been extended: New dates: Paper submission deadline - 1 September 2021 Notification to authors - 1 November 2021 Deadline revised papers submission - 15 January 2022 Final version - 15 February 2022 The call can be found in: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9448373 We would like to announce a special issue for the journal IEEE Transactions on Cognitive and Developmental Systems. The general topic revolves around perceptual optimization processes related to attentional and predictive mechanisms. We are interested in work coming from a wide range of areas including robotics, psychology, philosophy and neuroscience. Themes include: · Attentional and gating mechanisms for action and sensory information processing · Context- and task-dependent perceptual optimization · Sensory attenuation/cancellation and sensory enhancement/facilitation · Interplay of predictive and attentional mechanisms for prediction error minimization · Multimodal integration and/or cross-modal interactions · State representation learning · Constrained innate priors that drive learning · Prediction in language learning and comprehension · Prediction error dynamics monitoring · Dreaming, non-conscious perception, hallucination, altered perceptual phenomena -- -- +++++++++++++++++++++++++++++++++++++++++++++ Dr. Bruno Lara Guzman Profesor Investigador Centro de Investigación en Ciencias Universidad Autónoma del Estado de Morelos Av. Universidad 1001. Col. Chamilpa Cuernavaca, Morelos. C. P. 62209-- M É X I C O +++++++++++++++++++++++++++++++++++++++++++++ http://roboticacognitiva.mx Tel (52) (777) 3-29-70 40 x 3280 +++++++++++++++++++++++++++++++++++++++++++++ +++++++++++++++++++++++++++++++++++++++++++++

July 3, 2021

THEORETICAL/COMPUTATIONAL NEUROSCIENCE FACULTY POSITION AT CSHL

by Tony Zador

*Cold Spring Harbor Laboratory is seeking faculty candidates in the area of Computational/Theoretical Neuroscience. * Of particular interest to this search are candidates with expertise in *computational and theoretical neuroscience, machine learning, and artificial intelligence*. The successful candidate will have an outstanding record of research achievement and an innovative research program. They will join a highly interactive and collaborative neuroscience group working on neural circuits, neural development, neurogenetics, theoretical and computational neuroscience, artificial intelligence, synaptic function, brain disorders, rodent cognition, perception, and social behavior. Preference will be given to applicants at the Assistant Professor level, but outstanding candidates at all career stages will be considered. *Review of applications is currently underway and will continue until the position is filled. * Please see https://www.cshl.edu/about-us/careers/faculty-positions/ for details. If this position is *of interest to you or your colleagues, we would welcome your applications*. This link will bring you to the formal posting where *interested candidates* can create an account and apply: Faculty Positions In Neuroscience position ID 02703-R. *Specific questions regarding the opportunity can be sent *directly to CSHLfacultyjobs(a)cshl.edu .

July 2, 2021

EITN Fall School in Computational Neuroscience : Applications extended to 25 July 2021

by Zélie Tournoud

Dear colleagues, We are happy to let you know that the application deadline for the *EITN Fall School in Computational Neuroscience* has been extended to the *25th of July 2021*. This *10-days intensive course in computational neuroscience* will take place in *P**aris, France from 15 to 24 September 2021*. This is a yearly event, although previous occurrences took place in the spring. We choose to keep it relatively small-scale in order to facilitate interactions between participants and teaching staff, there are about 20 seats available. There will, therefore, be a selection made after applications are closed. We encourage you to share the word widely with your collaborators and networks so that everyone who might be interested can get the chance to apply. Applications need to be addressed by email with a *resume (CV)* and a *cover letter* at *eitn(a)neuro-psi.fr*. Please make sure to use an explicit email title such as "Application to EITN Fall School". *Organizers: *Sacha Van Albada (Julich), Albert Gidon (U Berlin), Alain Destexhe (CNRS), Gorka Zamora-Lopez (UPF) and Spase Petkowski (AMU) *Faculty:* Nicolas Brunel (Duke University) Mallory Carlu (CNRS) Hermann Cuntz (Max Planck Frankfurt) Damien Depannemaecker (CNRS) Alain Destexhe (CNRS) Michael Dick (Julich) Renato Duarte (Julich) Gaute Einevoll (MBU) Kirsten Fisher (Julich) Albert Gidon (U Berlin) Jennifer Goldman (CNRS) Moritz Helias (Julich) Christian Keup (Julich) Anno Kurth (Julich) Mario Lavanga (AMU) Jean-Didier Lemarechal (AMU) Marja-Leena Linne (U Tempere) Jorge Mejias (UVA) Spase Petkowski (AMU) Marcel Stimberg (Institut de la Vision) Bartosz Telenczuk (CNRS) Fererico Tesler (CNRS) Nuria Tort-Colet (CNRS) Sacha Van Albada (Julich) Gorka Zamora-Lopez (UPF) *Why join?* * 10 days of intensive training in computational neuroscience provided by researchers from all over Europe * Small scale event: get to connect! * A complete program: o Cellular models, and models of brain signals Circuit models and networks o Mean-field models o Whole-brain models * Hands-on learning schedule based on: o Morning classes and tutorials o Group projects in the afternoon o Free time in the evenings to visit Paris *Selection criteria:* 1. Work or study in neuroscience or related 2. Experience in python programming would help 3. Priority to PhD students, although Master students and post-docs are welcome to apply *Practical information:* * Subscription fee 400€. * If selected, you will need to bring your own laptop with a few pre-installed programs. * The tuition fee includes lunch, coffee, access to conference facilities and internet connection during the 10 days of the course. You can also consult these information online <https://www.eitn.org/index.php/calendar-event/eventdetail/737/-/eitn-fall-s…> or by downloading the PDF flyer: https://www.eitn.org/images/events/EITN-FallSchool-2021_Flyer.pdf Thank you very much for applying or sharing with your relevant contacts. Kind regards, The EITN Team

July 2, 2021

Scientific Software Engineer or Data Scientist, deadline July 11th 2021, Salary level E13 TVL

by Jochem Rieger

Dear colleagues, we have an open DFG-funded position for 3+2 years for the development of data infrastructure including storage, streaming and analysis tools for reproducible science based on the BIDS standard at our Neuroimaging Unit at University of Oldenburg, Germany. Link to the announcment: https://uol.de/stellen?stelle=68111 Application deadline is July 11th 2021 The position is ideal for networking in the open science community as it includes workshop organization and interaction with the open (neuro)science community. It is complemented by a full time technician position for support. The salary level is E13. The exact salary is dependent on experience and family status. But the rough numbers are on the web. The Neuroimaging Unit hosts a 3T Siemens Prisma MRI-scanner and a 306 channel Triux MEG system. The university hosts a prestigious DFG-funded Cluster of Excellence in Hearing Research and the Dept. of Psychology was recently evaluated as excellent with the highest third party funding rate among psychologies in Lower Saxony. The city of Oldenburg has a high standard of living, Hamburg, Bremen and the north sea are between 30 to 90 min distance. We are looking forward to your application! Best regards, Jochem The Neuroimaging Unit and the Applied Cognitive Neuropsychology Lab at the School of Medicine and Health Sciences of the University of Oldenburg is seeking to fill the position of a *Scientific Software Engineer or Data Scientist (m/f/d)* *(Salary level E13 TVL, 100%)* ** for the development of open and reproducible neuroscience tools and processing pipelines*.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible**until 30^th of September 2023 (with the possibility to extend another 2,5 years after successful evaluation and extension of the project)*. The position is suitable for part-time work. The Neuroimaging Unit hosts a state-of-the-art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The successful candidate is expected to actively perform research on and contribute to the implementation of a standardized neuroscience data acquisition, reproducible analysis pipelines and data storage for open science building on the BIDS standard. He/she should further contribute to community efforts and dissemination. Candidates should have a strong motivation to contribute to the community of developers open science tools. The development can include scientific projects, as long as they fit into the research focus of the lab (machine learning in cognitive neuroscience, speech processeing, and human state monitoring) but tool and processing pipeline development comprises the main part of the position. Candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, demonstrated by an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMRI or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Dr. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany; (jochem.rieger(a)uni-oldenburg.de <mailto:jochem.rieger@uni-oldenburg.de>). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*11*th of July 2021**. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

July 2, 2021

NERKA8 Summer Course “Ion Channels and Neuronal Excitability”

by luiza filipis

Dear all, It is our pleasure to invite you to the NERKA8 Summer Course *“Ion Channels and Neuronal Excitability” *to be held *this year and in person* *September 8-12, 2021 *in Kotor, Montenegro. The course is organized by the *Faculty of Biology University of Belgrade* within the *NENS* School PhD program on *Neurobiology*. This school is to cover topics of *Ion Channels and Neuronal Excitability – techniques, modeling, physiology & pathology*. Information on application, deadlines, stipends and programm can be found on the website http://clm.bio.bg.ac.rs/neurobiology-course-2021/ -- Luiza Filipis,PhD Equipe OPTIMA Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes et CNRS UMR 5588, Bat. E45, 140 avenue de la physique, Domaine univ., 38402 St Martin d'Hères cedex, FRANCE 33(0)476514731, Fax +33(0)476635495. luiza.filipis(a)univ-grenoble-alpes.fr http://marco-canepari.wix.com/neuron-imaging-team

July 1, 2021

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course. Enrolments open 1-18 July 2021. This is a self-paced online course for researchers and students who wish to program their own dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<https://bdtoolbox.org/>). Participants learn the art of programming differential equations to simulate neuronal dynamics. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Early-bird enrolments ($125) close Friday 9th July, 2021. Late enrolments ($150) close Sunday 18th July, 2021. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

July 1, 2021

Tutorials on Allen Institute data and tools for computational neuroscience at CNS*2021

by Anton Arkhipov

Starting soon: pre-CNS*2021 tutorials “From synapses to behavior – using open data, tools, and models from the Allen Institute in computational neuroscience”. Please register for CNS*2021 (https://www.cnsorg.org/cns-2021-quick) and find the Zoom link on the conference Sched page. Wednesday, June 30, 2021 11:30 am – 11:45 am ET (8:30 am – 8:45 am PT) - Introduction 11:45 am – 12:45 pm ET (8:45 am – 9:45 am PT) - Synaptic Physiology (Luke Campagnola) 12:45 pm – 1:00 pm ET (9:45 am – 10:00 am PT) - Break 1:00 pm – 2:00 pm ET (10:00 am – 11:00 am PT) - Visual Coding 2-photon (Saskia de Vries) 2:00 pm – 3:00 pm ET (11:00 am – 12:00 pm PT) - Visual Coding Neuropixels (Josh Siegle) Thursday, July 1, 2021 11:30 am – 11:45 am ET (8:30 am – 8:45 am PT) - Introduction 11:45 am – 12:45 pm ET (8:45 am – 9:45 am PT) - PatchSeq (Nathan Gouwens) 12:45 pm – 1:00 pm ET (9:45 am – 10:00 am PT) - Break 1:00 pm – 2:00 pm ET (10:00 am – 11:00 am PT) - Visual Behavior (Alex Piet) 2:00 pm – 3:00 pm ET (11:00 am – 12:00 pm PT) - Bio-realistic model of the mouse primary visual cortex (Anton Arkhipov and Kael Dai) Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

June 30, 2021

Last chance to register: TEX2021 - Bringing together Predictive Processes and Statistical Learning

by Yamil Vidal

Last chance to register!! TEX2021 - Bringing together Predictive Processes and Statistical Learning A free online symposium organized by Yamil Vidal and Davide Crepaldi. We have few available spots left so do not wait until the last minute to register. Description: While the research communities studying Predictive Processes and Statistical Learning sprout from different traditions, they share a core interest in how our brains pick up on patterns in the environment. In this two-days symposium we will bring these communities closer by sharing talks by some of the leading researchers of these fields. When: 1st and 2nd of July (15:00 to 18:30, CET) Speakers: - Tristan Bekinschtein (Consciousness and Cognition Lab, Department of Psychology, University of Cambridge) - Lucia Melloni (Department of Neuroscience, Max Planck Institute for Empirical Aesthetics. Department of neurology, NYU Grossman School of Medicine) - Padraic Monaghan (Department of Psychology, Lancaster University) - Maria Chait (Ear Institute, University College London) - Floris de Lange (Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen) - Caspar Schwiedrzik (Neural Circuits and Cognition Lab, European Neuroscience Institute Goettingen. Perception and Plasticity Group, German Primate Center - Leibniz Institute for Primate Research) - Lori Holt (Department of Psychology, Carnegie Mellon University) - Nicola Molinaro (BCBL, Basque Center on Cognition, Brain and Language) Schedule and more info at the registration form: https://sissa-it.zoom.us/webinar/register/WN_nBOv5NWZQ36HSH7nyffazg We would be very happy to count you among the attendees. Please spread the word. Best regards, Yamil and Davide Dr. Yamil Vidal Cognitive Neuroscience Sector Scuola Internazionale Superiore di Studi Avanzati - SISSA via Bonomea, 265 34136 Trieste, ITALY

June 29, 2021

Robustness, Adaptability and Critical Transitions in Living Systems satellite - Conference on Complex Systems 2021 Lyon, France

by Samir Suweis

We are glad to announce the 4th hybrid (on site + virtual) edition of ReACT satellite <https://liphlab.github.io/REACT2021/> during the CCS 2021 <https://ccs2021.univ-lyon1.fr/> in Lyon, France - 25-29/10/2021 Confirmed invited speakers: Anna Levina (University of Tubingen) and Sergi Valverde (CSIC-Universitat Pompeu Fabra) Organizing commettee: Samir Suweis (UNIPD), Giorgio Nicoletti (UNIPD), Sandro Azaele (UNIPD), Jacopo Grilli (ICTP) Abstract submission open through EasyChair <https://easychair.org/account/signin_timeout?l=JRR3vhQlzxctciXkPU1pGc#>. Deadline 31 July 2021 All info are available also on the satellite website: https://liphlab.github.io/REACT2021/ <https://liphlab.github.io/REACT2021/> ***** After the success of the Satellite at ECCS 2014, CCS 2016, and CCS 2018, the ReACT Satellite: Robustness, Adaptability and Critical Transitions in Living Systems is back for a fourth edition at CCS 2021 in Lyon, France. We are very pleased to announce that the Satellite will be host in an hybrid format, welcoming participants both online and in person! The Satellite will last half a day and will take place during the main conference (25th - 29th October, 2021). The exact date and times will be announced soon. Living systems are characterized by the recurrent emergence of patterns: power-laws distributions, long-range correlations and structured self-organization in living matter are the norm, rather than the exception. All these features are also typical of systems poised near a critical point. The great lesson from Physics is that criticality can emerge as a collective behaviour in a many-body system with simple interactions and its characteristics depend only on few details, like the dimensionality or the symmetries. One of the most striking feature of living systems is that they are structured as evolving systems were interactions can turn-on or off, as well as strengthening and weakening, reconfiguring the system connectivity. Thus, by rearranging both the structural and functional topology, living interacting systems may demonstrate unique evolvability, scalability and adaptability properties. Among these systems, the brain is probably one of the most impressively complex and has received a considerable amount of attention in recent years, aided by the vast amount of experimental data available. The idea that the collective behavior of neurons might emerge from a self-organized critical state has been widely studied, from its fundamental mechanisms to its functional advantages, and it poses a fascinating question that is far from being answered. It is of crucial importance to make further steps in the understanding of the main properties that simultaneously confer to these systems high level of adaptability, robustness and optimality. If we can “learn” from evolution and unravel the basic principles then we would be able to both better manage/supervise these systems and also design more optimal and sustainable new systems. ***************** Samir Suweis www.liphlab.com Tel: +39 049 827 71 74

June 29, 2021

[CFP] 2nd call for abstracts (+deadline extended to July 16th): Computational Cognition workshop (COMCO 2021)

by Juliane Schwab

June 29, 2021

[JOBS] PhD @ Italian Institute of Technology, Ferrara

by Alessandro D'Ausilio

PHD PROGRAM in TRANSLATIONAL NEUROSCIENCES AND NEUROTECHNOLOGIES The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), is opening 3 PhD positions starting in November 1st, 2021. Research areas: - Improving performance and biocompatibility of electrode arrays for brain-computer interfaces - Organic neuroelectronics for multimodal recordings and stimulation of the brain in vivo - Hardware and software development for innovative exploration of brain signals - Machine learning applications to multimodal brain and speech signals - Investigation of sensorimotor functions in animal models - Cortical recordings in human patients during awake Neurosurgery - Human non-invasive neurophysiology of speech and sensorimotor communication Who: chemists, physicists, materials scientists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists eager to work in an international and multidisciplinary team. Where: The CTNSC (https://www.iit.it/it/ctnsc-unife <https://www.iit.it/centers/ctnsc-unife>) is hosted by the University of Ferrara (UNIFE) in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). General INFO: http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience <http://www.unife.it/studenti/dottorato/it/corsi/riforma/neuroscience> Application INFO: http://www.unife.it/studenti/dottorato/concorsi/selection <http://www.unife.it/studenti/dottorato/concorsi/selection> DEADLINE: July 23rd, 2021

June 29, 2021

Tutorial on NEURON and NetPyNE at CNS*2021

by McDougal, Robert

(Apologies for cross-posts.) Interested in learning how to build biophysically detailed neuronal models with NEURON and NetPyNE? Join us for a tutorial at CNS*2021 on Saturday, July 3rd starting at 10am EDT: Time (New York City / EDT) Presenter Subject 10:00 - 10:30 Bill Lytton Overview: implementing the conceptual model 10:30 - 11:50 Robert McDougal NEURON scripting basics 11:50 - 12:00 coffee break 12:00 - 1:00 Adam Newton Reaction-Diffusion 1:00 - 1:30 lunch break 1:30 - 2:50 Salvador Dura-Bernal NetPyNE GUI-based tutorials 2:50 - 3:00 coffee break 3:00 - 4:00 Salvador Dura-Bernal NetPyNE programming tutorial For more information, see: https://neuron.yale.edu/neuron/courses/2021-cns-neuron-netpyne-tutorial Register for CNS*2021 to attend; see https://www.cnsorg.org/cns-2021-registration-fees

June 28, 2021

PhD position with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany

by Laurenz Wiskott

The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. One particular strength of RUB is interdisciplinary research in Machine Learning and Artificial Intelligence, see https://ml-ai.rub.de/. The Institute for Neural Computation is a central research institute, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a research assistant / Phd-student in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled at 15th of September. The appointment will be for three years. Salary is 75% of salary scale TV-L E13. Task: • Develop a cognitive system that learns to behave reasonably in new situations based on few episodic experiences. Central to the system shall be an episodic and a semantic memory. The application domain will be navigation. The candidate is free to put the focus on machine learning techniques or on the modeling of natural cognition. We offer: • An interesting interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Computational Neuroscience. • Room to develop your own ideas in the project. • Infrastructure to integrate well into the institute and the group. • Opportunity to do a PhD (Dr). Requirements: • Very good Master in mathematics, computer science, engineering, or a related field. • Good programming and mathematical skills. • Interest in interdisciplinary research questions and cooperations. Advantageous: • Experience in Machine Learning and/or Computational Neuroscience. • Good communication and teamwork skills. • Experience in interdisciplinary projects. • Programming skills in Python. Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott(a)rub.de. Travel expenses for interviews will not be refunded. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

June 28, 2021

Bernstein Conference 2021 - Deadline for Contributed Talks extended until July 7

by Anja Dorrn

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. Due to the ongoing pandemic the Bernstein Conference will be held online. <www.bernstein-conference.de>www.bernstein-conference.de ____ IMPORTANT DATES & NEWS * Bernstein Conference: September 21-23, 2021 * Abstract submission open: * Deadline for submission of abstracts to be considered for Contributed Talks: extended to July 7, 2021, 1 pm CEST * Deadline for abstract submission: August 3, 2021 * Selected Satellite Workshops are now online<https://bit.ly/BC21_workshops> * Registration will open soon and be free of charge ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Abstract submission is open. Further information can be found here: https://bit.ly/BC21_abstracts ____ INVITED SPEAKERS Keynote Timothy Behrens (University of Oxford, UK) Invited Talks Athena Akrami (University College London, UK) Nadine Gogolla (Max Planck Institute for Neurobiology, Martinsried, Germany) Guillaume Hennequin (University of Cambridge, UK) Jennifer Li & Drew Robson (Max Planck Institute for Biological Cybernetics, Tübingen, Germany) Scott Lindermann (Stanford University, USA) Ashok Litwin-Kumar (Columbia University, New York City, USA) Ida Momennejad (Microsoft Research, New York City, USA) Cristina Savin (New York University, USA) Marion Silies (Johannes Gutenberg University, Mainz, Germany) Daniela Vallentin (Max Planck Institute for Ornithology, Seewiesen, Germany) ____ CONFERENCE COMMITTEE Christian Leibold (Conference Chair) Julijana Gjiorgjieva (Program Chair) Christian Machens (Program Vice Chair) Marion Silies (Workshop Chair) Moritz Helias (Workshop Vice Chair) & Matthew Botvinick, Megan Carey, Peter Dayan, Brent Doiron, Rainer Friedrich, Ann Hermundstad, Srdjan Ostojic, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: <bernstein.conference(a)fz-juelich.de> bernstein.conference(a)fz-juelich.de -- Dr. Anja Dorrn Scientific Coordinator Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 web: www.bernstein-network.de<http://www.bernstein-network.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 28, 2021

Program and preliminary schedule for CNS*2021 Online

by Martin Zapotocky

**Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA*** Program and preliminary schedule available for 30th Annual Computational Neuroscience Meeting (CNS*2021 Online, **July 3-7)***** The program of the CNS*2021 Meeting can now be viewed at https://www.cnsorg.org/cns-2021-calendar <https://www.cnsorg.org/cns-2021-calendar> Please note that this year, the main days of the meeting (*July 3-7*) are preceded by software tutorials on *J**une 28-29*, and satellite tutorials on *June 30 - July 2*. For registration information, please visit https://www.cnsorg.org/cns-2021-registration-fees <https://www.cnsorg.org/cns-2021-registration-fees> Following registration, the attendees can use the conference Sched page to access detailed information for each session and to assemble a personalized schedule. Instructions are sent upon registration. Please follow the Sched page for up-to-date information on the event schedule. -------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for awards and other benefits. Visit our website for more information: https://www.cnsorg.org <https://www.cnsorg.org> -------------------------------------------------------------------------------------------- ------------------------------------------------------------------------

June 27, 2021

Open postdoctoral position in Niv lab at Princeton University

by Angela Langdon

The lab of Dr Yael Niv in the Princeton Neuroscience Institute and Department of Psychology at Princeton University is looking for a talented and motivated postdoctoral researcher to join our team to study the neural mechanisms of reward prediction and learning in animals. This position is to work primarily with Dr Angela Langdon on a NIDA-funded project modeling behavior and neural recording data from rodents in a reward learning task (start date: as soon as possible). The ideal candidate will 1) have experience in computational or theoretical modeling, such as reinforcement learning, Bayesian inference, machine learning and/or neural circuit modeling; 2) be excited about mapping theories of learning and decision making onto behavior and its neural basis; 3) be keen to work in a collaborative and interdisciplinary scientific environment. More broadly, members of the lab study the behavioral and neural computations that support learning and decision making, and their interaction with attention and memory mechanisms. Our research spans a diverse set of theoretical tools from reinforcement learning, Bayesian inference and machine learning alongside various empirical techniques, including targeted behavioral experiments, eye tracking and fMRI. In addition, we work closely with our collaborators on model-guided analysis of animal behavior and neural activity across a number of learning paradigms – the current position is for a project in this domain, working with existing neural and behavioral data from rodents. We have a particular interest in research that can shed light on the changes to learning and decision making that are prevalent in a range of clinical disorders. The Princeton Neuroscience Institute and the Psychology Department at Princeton are highly interdisciplinary and collaborative, and provide excellent support for career development. You will be joining a vibrant and international research group, and will have opportunities to interact with and learn from a large number of researchers in cognitive and computational neuroscience. To apply, send your CV and statement of research interests to Yael Niv: yael(a)princeton.edu <mailto:yael@princeton.edu> and Angela Langdon: alangdon(a)princeton.edu <mailto:alangdon@princeton.edu>.

June 25, 2021

Workshop on Clinical Computational Neuroscience at OCNS*2021

by Laure Buhry

Dear all, We would like to announce the Workshop on *“Clinical computational neuroscience: How computational neuroscience can solve problems from the clinic”,* which will be held on *July 7th* during the OCNS annual meeting from 9:30 am to 5:45 am (Paris time) / 3:30 am to 11:45 am (NY time)/ 5:30 pm to 1:45 am (Sydney time). Please keep in mind that for workshop attendance a registration at the main conference (https://www.cnsorg.org/cns-2021-registration-fees) is necessary. More information here: https://xenia-kobeleva.com/CNS2021/ We would love to see you there! Organizing Committee: Laure Buhry (co-chair) Xenia Kobeleva -- Dr Laure Buhry Associate Professor LORIA UMR CNRS 7503 - INRIA - University of Lorraine, France

June 25, 2021

Postdoc position in neuronal network modelling and simulation

by Andrew Davison

Dear colleagues, A postdoc position in neuronal network modelling and simulation is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, as part of the Human Brain Project (https://neuropsi.cnrs.fr/en/departments/icn/group-leader-andrew-davison/) The large number of different simulation environments in neuroscience presents both a problem and an opportunity. Since each simulator has its own programming interface and output data format, reproducing, reusing, or combining models written for different simulators typically presents considerable difficulty. On the other hand, since each simulation environment has a different balance between efficiency, flexibility, scalability and user-friendliness, we can choose the most appropriate one for a given problem, or cross-check the results obtained with different tools. Simulator-agnostic model representation languages such as NeuroML and PyNN allow us to preserve the advantages of simulator diversity while reducing or eliminating the disadvantages, thereby making reproducibility and reuse much easier. Such languages let us take a single model description and simulate it in different environments without having to reimplement the model each time. The aim of this project is to expand the scope of PyNN from networks of simplified neuron models, such as integrate-and-fire, to networks consisting of biophysically- and morphologically-detailed neuron models, targeting the NEURON and Arbor simulators, the SpiNNaker and BrainScaleS neuromorphic computing systems, and interoperability with NeuroML and the SONATA format. We offer a flexible and collaborative working environment, including remote working up to two days per week. For more details and to apply, see https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-007/Default.aspx?lang=EN Informal enquiries are welcome, contact andrew.davison(a)cnrs.fr Andrew Davison, PhD Group leader, Neuroinformatics Department for Integrative and Computational Neuroscience (ICN) NeuroPSI - Paris-Saclay Institute of Neuroscience CNRS - Université Paris-Saclay 1, avenue de la Terrasse 91198 Gif-sur-Yvette France Tel: +33 1 69 82 34 51 Twitter: @apdavison https://neuropsi.cnrs.fr/en/departments/icn/group-leader-andrew-davison/

June 24, 2021

Tutorial on "Understanding early visual receptive fields from efficient coding principles"

by Zhaoping Li

Understanding principles of efficient coding can enable you to answer questions such as: why should the input contrast response function of a neuron take its particular form? Why do retinal ganglion cells have center-surround receptive fields? How correlated or uncorrelated should the visual responses from different retinal ganglion cells be? Why do receptive fields of retinal ganglion cells increase their sizes in dim light? How could visual coding depend on animal species? Why are color selective V1 neurons less sensitive to visual motion signals? How can one predict the ocular dominance properties of V1 neurons from developmental conditions? How should neurons adapt to changes in visual environment? This tutorial guides you on how to answer such questions. It contains: (1) A list of 45 short video lecture clips (about 10 minutes each on average) on YouTube, see http://www.lizhaoping.org/zhaoping/EfficientVisualCoding_Playlist.html (2) In addition to (1), you can join CNS *2021 (see https://www.cnsorg.org/cns-2021-tutorials#T3 ), which enables social interactions with the lecturer and other students via Discord, and on July 3rd (the tutorial day) for highlights, Q&As, and discussions. best, Li Zhaoping -- Li Zhaoping Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Dept of Sensory and Sensorimotor Systems, Max Planck Institute of Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

June 23, 2021

CNS*2021 Workshop: Computational approaches for studying astrocyte dynamics and astrocyte-neuron communication (July 6-7, Online)

by Marsa Taheri

Dear all, We are pleased to announce a workshop on “*Computational approaches for studying astrocyte dynamics and astrocyte-neuron communication*” at this year’s Annual Computational Neuroscience Meeting (CNS*2021). This workshop will run over 2 half-days: July 6-7 (9 am – 12:30 pm UTC-7). ------------------- *Brief Description*: Exciting experimental studies in the last decade have led to an entirely new body of work on the participation of astrocytes in normal and pathological brain function. However, the development of a solid theoretical framework to support and quantify some of the pathways has been somewhat limited, first, due to the lack of intensive collaboration between experimentalists and theorists, and second, due to a persistent neurocentrist view of brain function. Please join us to hear from an incredible lineup of speakers, bringing together specialists, theorists, and experimentalists in the field of astrocyte-neuron signaling: Yukiko Goda, Riken, Japan Alla Borisyuk, University of Utah, USA Jennifer Shih, MIT, USA Annalisa Scimemi, University of Albany, USA Guoqiang Yu, Virginia Tech, USA Laszlo Heja, Hungarian Academy of Sciences, Hungary Anup Pillai, University of Ottawa, Canada Renaud Jolivet, Université de Genève, Switzerland Max Collard, UCSF, USA Audrey Denizot, Okinawa Institute of Science and Technology, Japan Ron Refaeli, The Hebrew University, Israel Kerstin Lenk, Graz University of Technology, Austria ------------------- More information on the workshop at: https://astrocytenet.org/cns2021-online-workshop/ Register and gain access to all CNS*2021 presentations, tutorials, and workshops at: https://www.cnsorg.org/cns-2021 We look forward to your participation! *On behalf of the workshop organizers:* *Kerstin Lenk*, Institute for Neural Engineering, Graz University of Technology, Graz, Austria *Audrey Denizot*, Okinawa Institute of Science and Technology, Computational Neuroscience Unit, Onna-Son, Japan *Barbara Genocchi*, Faculty of Medicine and Health Technology, BioMediTech, Tampere University, Tampere, Finland *Suhita Nadkarni*, Indian Institute of Science Education and Research Pune (IISER Pune), Pune, India *Marsa Taheri*, Department of Neurobiology, University of California Los Angeles, CA, USA Contact information: cns2021.astro.workshop(a)gmail.com

June 23, 2021

Tutorials on Allen Institute data and tools for computational neuroscience at CNS*2021

by Anton Arkhipov

Dear all, Please join us for pre-CNS*2021 tutorials on June 30 and July 1: “From synapses to behavior – using open data, tools, and models from the Allen Institute in computational neuroscience”. https://www.cnsorg.org/cns-2021-tutorials#SA5 The Allen Institute recently released multiple free resources focusing on the structure and function of brain circuits, including data, associated analysis software, and models integrating the data to enable bio-realistic simulations. We will introduce several of these resources in a series of 1-hour sessions. The resources covered will include characterization of cell types and synapse types, 2-photon calcium imaging and Neuropixels electrophysiology in vivo, a visual behavior dataset, and bio-realistic models and modeling software. Wednesday, June 30, 2021 11:30 am – 11:45 am EST (8:30 am – 8:45 am PST) - Introduction 11:45 am – 12:45 pm EST (8:45 am – 9:45 am PST) - Synaptic Physiology (Luke Campagnola) 12:45 pm – 1:00 pm EST (9:45 am – 10:00 am PST) - Break 1:00 pm – 2:00 pm EST (10:00 am – 11:00 am PST) - Visual Coding 2-photon (Saskia de Vries) 2:00 pm – 3:00 pm EST (11:00 am – 12:00 pm PST) - Visual Coding Neuropixels (Josh Siegle) Thursday, July 1, 2021 11:30 am – 11:45 am EST (8:30 am – 8:45 am PST) - Introduction 11:45 am – 12:45 pm EST (8:45 am – 9:45 am PST) - PatchSeq (Nathan Gouwens) 12:45 pm – 1:00 pm EST (9:45 am – 10:00 am PST) - Break 1:00 pm – 2:00 pm EST (10:00 am – 11:00 am PST) - Visual Behavior (Alex Piet) 2:00 pm – 3:00 pm EST (11:00 am – 12:00 pm PST) - Bio-realistic model of the mouse primary visual cortex (Anton Arkhipov and Kael Dai) Please register for CNS*2021 and join us for the tutorials! https://www.cnsorg.org/cns-2021-quick Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

June 23, 2021

Software WG satellite tutorials at CNS*2021 on Bash, Git, and Python: June 28, 29 2021

by Ankur Sinha

Dear all, Apologies for the cross-posts. The INCF/OCNS Software Working Group is running three beginner/intermediate level satellite tutorials on Bash, Git, and Python at CNS*2021. These tutorials are on Monday and Tuesday (28/29 June). They are intended for both complete beginners and occasional/regular users who are looking to expand and refresh their skills. More information on these, including topics that we will cover can be seen on our website: https://ocns.github.io/SoftwareWG/2021/06/09/software-wg-tutorials-at-cns-2… - Effective use of Bash (Felix B. Kern): 28 June, 2021 1200 UTC - Effective use of Git (Ankur Sinha): June 28, 2021 1700 UTC - Python for beginners (Joe Graham, Shailesh Appukuttan, Ankur Sinha): 29 June, 2021 1300 UTC One can register for CNS*2021 here to gain access to excellent set of tutorials/workshops/posters and oral presentations that are being organised this year: https://www.cnsorg.org/cns-2021 More information on the Software working group, our work, how you can contact us, and how you can join us (it is open to all) is here: https://ocns.github.io/SoftwareWG/index.html On behalf of the Software WG, -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

June 23, 2021

Post-doc position on machine learning and human motion/physiological data analysis at AIST, Japan

by 平山淳一郎

Dear colleagues, We invite applications for a postdoctoral researcher position on machine learning and human motion/physiological data analysis, available at Mathematical Neuroscience Research Group, Human Informatics and Interaction Research Institute, National Institute of Advanced Industrial Science and Technology (AIST) (https://www.aist.go.jp/index_en.html) Japan. The successful candidate will join a collaborative project with ATR, Kyoto University and Hokkaido University on human-AI co-evolution, funded by NEDO (https://www.nedo.go.jp/english/) and conduct research on machine learning modeling and analysis of human motion data and/or related physiological signals from the brain and body, depending on his/her interests. The starting date is negotiable, with a preference for candidates who can start early. The initial appointment will be until March 2022, with the possibility of extension until March 31, 2025. Salary for the postdoctoral fellow will follow the AIST guideline. To apply, please visit https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D121020014&ln_jor=1 and send the required application documents to junichiro.hirayama(a)aist.go.jp. The deadline of application is August 31, 2021. The deadline may be extended until the position is filled. -- Jun-ichiro Hirayama Senior Researcher Human Informatics and Interaction Research Institute National Institute of Advanced Industrial Science and Technology (AIST) junichiro.hirayama(a)aist.go.jp https://staff.aist.go.jp/junichiro.hirayama

June 23, 2021

Postdoctoral positions in the Geffen lab at the University of Pennsylvania

by Maria Geffen

The Geffen laboratory <http://hosting.med.upenn.edu/hearing> at the University of Pennsylvania <http://www.upenn.edu/> has multiple postdoctoral positions open in systems neuroscience with the broad goal of understanding the neuronal circuits for auditory perception and learning. We are looking for energetic and talented scientists interested in studying the function of the brain. The postdoctoral fellow will have the opportunity to learn and apply a host of systems neuroscience techniques, including two-photon imaging of population activity, optogenetic manipulations, large-scale electrophysiology and behavior in mice. Prior experience with some of these methods is preferred, but not required. Depending on the candidate’s interests, all projects provide an opportunity to learn and apply advanced computational methods, including dynamic systems analysis of neuronal population activity; Bayesian approaches for understanding the relation between neuronal activity and behavior; machine learning methods to understand large-scale neuronal activity. We currently have openings for postdoctoral fellows for three projects: (1) Neuronal mechanisms for predictive coding: Auditory perception relies on predicting statistics of incoming signals, be it identifying the speech of a conversation partner in a crowded room or recognizing the sound of a babbling brook in a forest. The human brain detects statistical regularities in sounds as a fundamental aspect of prediction, evidenced by reduced responses to repeated sound patterns and enhanced responses to unexpected sounds. Multiple studies demonstrate that the neuronal responses to regular signals are reduced through adaptation, which can contribute to prediction. However, adaptation alone is not sufficient to account for prediction and studies at cellular and neuronal population levels in animals thus far lend only partial support to existing theories of predictive coding. The goal of the project is to close this gap in knowledge and to determine the circuits that predict signals and detect statistical regularity and its violation in auditory behavior. Funded by NIH NIDCD. (2) Neuronal circuits for learning-driven changes in auditory perception: Everyday auditory behavior depends critically on learning-driven changes in auditory perception that rely on neuronal plasticity within the auditory pathway. By combining state-of-the-art optogenetic, electrophysiological, behavioral and computational approaches, the project seeks to identify the function of specific circuit elements in auditory learning. Funded by NIH NIDCD. (3) Neuronal mechanisms for hearing under uncertainty: In everyday life, because both sensory signals and neuronal responses are noisy, important cognitive tasks, such as auditory categorization, are based on uncertain information. To overcome this limitation, listeners incorporate other types of signals, such as the statistics of sounds over short and long time scales and signals from other sensory modalities into their categorization decision processes. This project will identify the contribution of specific cell types to categorization and the neuronal mechanisms for how contextual signals bias auditory categorization. In collaboration with Dr. Yale Cohen <https://auditoryresearchlaboratory.weebly.com/> and Dr. Konrad Kording <http://kordinglab.com/>, funded by NIH BRAIN Initiative. Our laboratory is a close community of fun-loving scientists, striving to help each other while exploring the mysteries of the brain. Our trainees have won numerous awards and have been awarded government and private foundation grants. We value diversity and promote equity in the scientific community and beyond <https://hosting.med.upenn.edu/hearing/philosophy/>. The systems neuroscience community at the University of Pennsylvania is top-notch and highly collaborative, and postdoctoral fellows will have opportunities to engage in interdepartmental initiatives, including MindCore <https://mindcore.sas.upenn.edu/>, MINS <https://www.med.upenn.edu/ins/> and CNI <https://www.cni.upenn.edu/>. Penn has a gorgeous campus and offers many cultural activities. Philadelphia is a beautiful city with world-class music, food and entertainment. To apply, please email Dr. Geffen at mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> : a cover letter (summarize your prior research experience, why you are interested in the position, and your future plans) and your CV. __________________________ Maria N. Geffen, Ph.D. (she/her) Associate Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu http://hosting.med.upenn.edu/hearing Twitter: @neimarkgeffen

June 22, 2021

Three Assistant Professor Positions at University of Sussex

by Thomas Nowotny

Dear all, The School of Engineering and Informatics at the University of Sussex is seeking to hire three Assistant Professors (“Lecturers”, permanent position) in Computer Science and AI. One of the positions is particularly focused on a researcher with interests in one or more of the following areas: machine learning, ethical AI, computational Neuroscience, complexity science, consciousness science and bio-inspired AI and robotic control. They should be able to teach general subjects in Computer Science and Artificial Intelligence at Undergraduate and Taught Postgraduate levels. They will work within the Artificial Intelligence Research Group, including opportunities to interact with the robotics group in the Department of Engineering. The AI Research Group at the University of Sussex was created through the merger of the Evolutionary and Adaptive Systems (EASy) and the Data Science groups. We conduct research and teach a wide range of AI related topics, often cross-disciplinary and with a unique Sussex angle. We collaborate internationally and locally with academics, businesses, and public stakeholders, working at the frontiers of knowledge, on solving real-world problems, and in policy and public outreach. Applications should be accompanied by a full CV, and statements of future research plans and ways in which the applicant could contribute to teaching across the School. Please contact Dr Ian Mackie I.Mackie(a)sussex.ac.uk<mailto:I.Mackie@sussex.ac.uk> , Head of the Department of Informatics, for informal enquiries. The full job advert is posted at https://t.co/K0CdIYx6xH?amp=1 including a detailed person specification and details how to apply. Please get in touch if you are interested in these positions and forward to any interested colleagues. Kind regards, Thomas -- Prof Thomas Nowotny Head of the AI Research Group Director of Research and Knowledge Exchange School of Engineering and Informatics University of Sussex Falmer, Brighton BN1 9QJ, UK Phone: +44-1273-678593 FAX: +44-1273-877873

June 22, 2021

Post-doc / research associate position in neural reinforcement learning using causal models (Sheffield, UK, 33 months, deadline 4th July)

by Aditya Gilra

Dear All, We're looking for a post-doc / research associate to work on bio-plausible neural networks that learn causal models of the environment and utilize these to plan and explain actions in reinforcement learning. The position is for 33 months at the University of Sheffield, UK. Read more at: https://www.chistera.eu/projects/causalxrl . Apply via (deadline: 4th July): https://jobs.shef.ac.uk/sap/bc/webdynpro/sap/hrrcf_a_posting_apply?PARAM=cG… Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra

June 22, 2021

WWNeuRise series on neuromodulation & applications/recommendations

by William Podlaski

WorldWideNeuRise will host several online talks throughout June-July on the topic of neuromodulation in the brain from the following speakers: Wednesday, 30 June, 5pm CET Lindsay Collins (McCormick Lab, University of Oregon, USA) Cristina Colangelo (Blue Brain Project, EPFL, Switzerland) Wednesday, 14 July, 5pm CET Jasmine Pickford (Apps Lab, University of Bristol, UK) Luke Coddington (Dudman Lab, Janelia Research Campus, USA) Wednesday, 28 July, 5pm CET Rohan Sharma (Suhita Lab, IISER Pune, India) Ines Guerreiro (Gutkin Lab, Ecole Normale Superieure, France) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are actively searching for PhD students and postdocs to give talks in our upcoming seminar blocks. On our website (https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Ellen Boven (Apps lab, University of Bristol) Christina Buetfering (Häusser lab, University College London) Lucie Descamps (Kentros lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky lab, Weizmann Institute) Loreen Hertäg (Clopath lab, Imperial College London) Joram Keijser (Sprekeler lab, TU Berlin) Bill Podlaski (Machens lab, Champalimaud Research)

June 21, 2021

NeuroML hands-on satellite tutorial at CNS*2021 on July 2nd 2021 at 1500 UTC

by Ankur Sinha

Dear all, Apologies for the cross-posts. We will be running a half day satellite tutorial at the 30th annual meeting of the Organization for Computational Neurosciences (OCNS), CNS*2021 Online. The tutorial will be held on July 2nd, 2021 at 1500 UTC. https://docs.neuroml.org/Events/202107-CNS2021.html The goal of the tutorial is to teach users to build, visualise, analyse, and simulate models using NeuroML. Why take part? --------------- This tutorial is aimed at new and current NeuroML users. We will start with a quick introduction to the NeuroML standard and the associated software ecosystem, after which we will proceed to conduct hands-on sessions to show how one can build computational models with NeuroML. Times and dates ---------------- - Friday 2nd July 1500 UTC Click here for your local time: https://www.timeanddate.com/worldclock/fixedtime.html?msg=NeuroML+tutorial+… Registration ------------- To take part in the tutorial, please register here for the CNS*2021 meeting: https://www.cnsorg.org/cns-2021 Pre-requisites --------------- The sessions will make use of the NeuroML Python tools. Please follow the documentation to install them on your system if you wish to use them locally: - PyNeuroML: https://docs.neuroml.org/Userdocs/Software/pyNeuroML.html#pyneuroml - libNeuroML: https://docs.neuroml.org/Userdocs/Software/libNeuroML.html#libneuroml You can also use the interactive Jupyter notebooks from the documentation if you prefer (example: https://docs.neuroml.org/Userdocs/NML2_examples/SingleNeuron.html) These can be run on Binder and Google Collab in your web browser and do not require you to install anything locally on your computer. Slack ----- To aid communication with the community during (and after) the meeting, we have a Slack channel for NeuroML related discussions. Please contact Padraig Gleeson (p DOT gleeson AT ucl DOT ac DOT uk) or Ankur Sinha (ankur DOT sinha AT ucl DOT ac DOT uk) for an invite. You can also contact the NeuroML community using one of our other channels: https://docs.neuroml.org/NeuroMLOrg/CommunicationChannels.html#contact-chat We look forward to working with the community to drive further uptake of NeuroML compliant models and tools! -- Thanks, Regards, Ankur Sinha (He / Him / His) Research Fellow at the Silver Lab | http://silverlab.org/ Department of Neuroscience, Physiology, & Pharmacology University College London, London, UK Time zone: Europe/London

June 21, 2021

Q&A about INCF activities and membership

by Helena Ledmyr

Hello! Are you an open neuroscience practitioner or want to become one? Do you want to have input on global strategies for data sharing in neuroscience? Join the INCF network! INCF directors Helena Ledmyr and Mathew Birdsall Abrams will answer all your questions about INCF participation in our webinar on June 29th at 10am EDT / 4pm CEST, where long-time community member Samir Das (McGill U) will reflect on how he has benefited from membership. Register at bit.ly/INCFwebinar Information about INCF and memberships can be found on our website <https://www.incf.org/>. All the best, Helena Ledmyr ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

June 21, 2021

Assistant professor position in Göttingen, Germany

by Ecker, Alexander

We have an opening for an assistant professor position for ML/CV for biomedical applications in the computer science department at the University of Göttingen, Germany. Application deadline it July 11. For details see below or at https://www.uni-goettingen.de/en/645470.html The Faculty of Mathematics and Computer Science at the Georg-August-University of Goettingen invites applications for a Sartorius AG Endowed Junior Professorship W1 – „Computational Cell Analytics“ (all genders welcome) The junior professorship will be part of the "CIDAS-Sartorius lab for AI-based high-throughput analysis of cell systems" and will actively contribute to its further development. In the CIDAS-Sartorius Lab, we will develop novel data analysis methods to obtain scientific insights from observations of cell systems in various areas of the life sciences. It is a collaboration between the Campus Institute Data Science (CIDAS), the Institute for Computer Science, the University Medical Center Goettingen and Sartorius AG. The junior professorship will also be part of the Campus Institute Data Science (CIDAS) and contribute to its development. CIDAS is a central institution of the University of Goettingen and works closely with the partners of the Goettingen Campus such as the University Medical Center, several Max Planck Institutes, the German Primate Center, the Academy of Sciences and the German Aerospace Center Goettingen. The junior professorship is thus optimally integrated into Goettingen's top-notch life science research environment. The future holder of the position should have expertise in computer science with a focus on machine learning/deep learning and/or computer vision. The professorship contributes to the development of new analytical methods and their application in the field of cell analysis. Possible research foci are among others: - Computer vision in biomedical imaging - Biomedical image processing - Image based cell and biomolecular analytics - Methods for object recognition and image segmentation - Large-scale machine learning & deep learning - Nonlinear and dynamic prognosis models for the description and prediction of complex, nonlinear processes in cell models The candidate should have a track record of internationally competitive high-quality research and a high potential for groundbreaking research in internationally visible projects. The candidate is expected to contribute to teaching in the data science programs. Goettingen University is committed to research-oriented teaching. Applications of international scientists are highly encouraged. The University is an equal opportunity and family friendly employer. We specifically encourage women to apply. Disabled persons with appropriate qualifications and aptitude for the position will be given special consideration. Applications including CV, publications list and details of teaching and research including funded research projects should be submitted by 11 July 2021 online via the application portal: https://tinyurl.com/44r336yn For further information please contact Prof. Dr. Alexander Ecker, Institute of Computer Science and Campus Institute Data Science: ecker(a)cs.uni-goettingen.de. -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

June 21, 2021

Post doc in Cognitive-Computational Neuroscience at University College London (discrete and continuous human action control under threat)

by Dominik R. Bach

*Post doc in Cognitive-Computational Neuroscience at University College London: discrete and continuous human action control under threat* We are looking for a research fellow in an ERC-funded research project "Action selection under threat - the complex control of human defence" led by Dr Dominik Bach (http://bachlab.org <http://bachlab.org>) and based at University College London, Max-Planck UCL Centre for Computational Psychiatry (https://www.mps-ucl-centre.mpg.de/en <https://www.mps-ucl-centre.mpg.de/en>) and Wellcome Centre for Human Neuroimaging (http://www.fil.ion.ucl.ac.uk/ <http://www.fil.ion.ucl.ac.uk/>). The overarching goal of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will build and test explicit computational models of discrete and continuous action control and action updating under constraints of time pressure and unaffordable costs. We seek applicants with established cognitive-computational modelling skills and a PhD in computational neuroscience, robotics with focus on action planning, computer science/mathematics/physics with a focus on decision science, or in a related area. We are looking for an individual who is strongly motivated to pursue an academic career and is excited by the opportunities for personal and career development this position can provide. The post is available from October 2021 and funded for up to 3 years with initial appointment for 1 year. Starting salary is on UCL grade 7, ranging from £36,028 to £43,533 per annum, inclusive of London Allowance, superannuable. More information and access to the UCL online application portal: https://is.gd/VwTJCA <https://is.gd/VwTJCA> Please contact d.bach(a)ucl.ac.uk <mailto:d.bach@ucl.ac.uk> for any queries about the project or role. *Closing date: 16 July 2021* Interviews will be held remotely in July. Apologies for cross-posting. -- ----------------------- Dominik R Bach MBBS PhD Principal Research Fellow Max Planck UCL Centre for Computational Psychiatry and Ageing Research Wellcome Centre for Human Neuroimaging, University College London http://bachlab.org | @bachlab_cog

June 21, 2021

PhD Studentship in Improving medication verification for cancer patients

by Shangming Zhou

Dear All, *PhD Studentship in Improving medication verification for cancer patients: An AI driven population health study* Applications are invited for a three-year PhD studentship. The studentship will start on* 1 October, 2021, *or as soon as possible after that. *Overview of the Studentship* This fully funded PhD studentship is based at the University of Plymouth’s Centre for Health Technology <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>, a leading international research group focused on the design, development and implementation of health technology innovations in health and care. This vibrant team of researchers work within the intersection of digital health, software engineering, data science, clinical artificial intelligence, and innovation strategy, with a primary aim to create a global hub for technology incubation in the South West of the United Kingdom. *Project Description* Medication errors, including those in prescribing, dispensing, or administration of a drug, are the single most preventable cause of patient harm. They have a significant impact on the efficiency of the workflow in pharmacy, raise safety concerns for patients, and result in a financial burden on the healthcare systems. Within cancer treatment, emphasis on reducing the number of medication errors has been an active research area for many years, with understanding that interdisciplinary approaches are vital to assure continuous improvement. Opportunities created by the reduction of transaction times for complex computational processes and use of machine learning to support clinical decision making, create a potential catalyst for the development of tools for reduction in medication errors. This PhD studentship offers an exciting opportunity of exploring AI and machine learning with large clinical data sets residing within electronic health records to create methods to assure the effective use of systemic anticancer treatment (including traditional cytotoxic chemotherapy, immunotherapy, novel oral therapies etc.) without compromising patient safety. The studentship will require application of interdisciplinary skills to enable cooperation between the research, clinical, industry and patient communities in the development of a novel approach which could enhance clinical outcomes. *Supervision Team* - Professor Shang-Ming Zhou <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> (shangming.zhou(a)plymouth.ac.uk) https://scholar.google.com/citations?user=iWiXGWMAAAAJ&hl <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.g…> - Dr Edward Meinert (edward.meinert(a)plymouth.ac.uk) https://scholar.google.com/citations?hl=en&user=7V-WsrwAAAAJ <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.g…> - Mrs Andrea Preston (Andrea.Preston(a)uhbw.nhs.uk) This PhD student will be academically advised by Professor Shang-Ming Zhou and Dr Edward Meinert, research scientists with research interests in applied artificial intelligence and machine learning, computing science in health and care. The student will also be advised by Mrs Andrea Preston, a Macmillan Divisional Lead Haematology & SW Cancer Commissioning Pharmacist. This supervision team will assure the execution of a world-class PhD embedded into the wider digital health ecosystem at the University of Plymouth. *Eligibility* · This PhD studentship is offered for UK and international applicants. · Applicants should have: 1) A first or upper second-class honours degree, and a relevant Master’s qualification in Computing Science, Data Science, Statistics, Health Informatics, Medical Informatics, Bioinformatics, or any areas related; 2) Interest in working with real-world problems and large data sets; 3) Excellent proficiency in English and outstanding communication skills; 4) Strong analytical and programming skills; 5) A “can do”, positive attitude with an aspiration to change the world. · Experience in machine learning is advantageous. · Experience in publication of peer-reviewed literature is desirable. *International Students* International applicants should meet the English language requirements, please see the details from the University’s website https://www.plymouth.ac.uk/international/how-to-apply/english-language-requ… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>. IELTS Academic 6.5 or above (or equivalent) with 5.5 in each individual category is commonly required by the University’s Doctoral College. *How to Apply* *To apply for this position,* please visit: https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/postg… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>. *Please clearly state the name of the studentship that you are applying for on your Personal Statement.* A research proposal is required. Please see: https://www.plymouth.ac.uk/student-life/your-studies/research-degrees/appli… <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> for a list of supporting documents to upload with your application. *Enquiry * If you wish to discuss this project further informally, please contact Professor Shang-Ming Zhou (shangming.zhou(a)plymouth.ac.uk) Dr Edward Meinert (edward.meinert(a)plymouth.ac.uk) or Mrs Andrea Preston ( Andrea.Preston(a)uhbw.nhs.uk) For more information on the admissions process, please contact doctoralcollege(a)plymouth.ac.uk. *Closing Date* *The closing date for applications is 30 July 2021. *Shortlisted candidates will be invited for interview. Best wishes Shangming Zhou _______________________________________________________ Shang-Ming Zhou Professor in e-Health, Fellow of the Higher Education Academy, Centre for Health Technology, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK Tel: +44 (0)1752 586513 Email: shangming.zhou(a)plymouth.ac.uk ; smzhou(a)ieee.org https://www.plymouth.ac.uk/staff/shang-ming-zhou <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…> https://www.hdruk.ac.uk/people/dr-shang-ming-zhou <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.hdruk…> https://www.plymouth.ac.uk/research/centre-for-health-technology <https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.plymo…>

June 20, 2021

BrainCosmos Summer School on Neural Circuit Complexity from Aug 30-Sep 3

by Shyam Diwakar

Dear Fellow Neuroscientists and Students, We would like to welcome you to a BrainCosmos Summer School titled "Neural circuit complexity: Neuroscience, Models and Robotics - Where do they lead?" organized at Lake Como, Italy from August 30-September 3, 2021. For more info: https://brco.lakecomoschool.org/ <https://brco.lakecomoschool.org/> The BrainCosmos summer school focuses on the study of the brain, neuroscience of circuits and behavior in micro and macro scales, models, experiments, alongside topics of robotics and artificial intelligence and a perspective on brain diseases. The school primarily targets PhD students across all research disciplines, but applications from professionals, masters students and post-doctoral researchers are welcome as well. The School will also cater to early career researchers in Neuroscience and will aim to promote critical thinking within the field and beyond. The scope covers a very wide range of topics that we believe to be of interest to many fields related to neuroscience, modeling, robotics and artificial intelligence. PARTICIPATION: The school will run in parallel with two simultaneous batches, one in presence (20 participants) and another remotely (20 participants). The lectures will be streamed. APPLY: https://brco.lakecomoschool.org/application/ FEES: There are some nominal fees for participation. In presence attendance: € 120, 22% VAT included (including lunches, coffee breaks, and all lectures and school materials). Online attendance: €100, 22% VAT included (including the possibility to participate remotely to all the lectures given during the school and to the related initiatives, and to have access to the recordings of the lessons from the school portal for a period of three months after the end of the school. KEY DATES Application deadline: July 20 Acceptance notification: July 23 Registration (only accepted students): August 3 Confirmed FACULTY list: Anna Letizia Allegra Mascaro - LENS, Florence, Italy Alberto Antonietti - EPFL, Swiss Silvia Casarotto – University of Milan, Italy Claudia Casellato - University of Pavia, Italy Marco Dal Maschio – University of Padoa, Italy Egidio D'Angelo - University of Pavia, Italy Damien Depannemaecker - CNRS, Paris, France Shyam Diwakar - Amrita Mind Brain Center, Amrita University, India Kenji Doya – Okinawa Institute of Science and Technology Graduate University, Japan Claudia Gandini Wheeler-Kingshott - University College London, UK & University of Pavia, Italy Alice Geminiani - University of Pavia, Italy Michele Giugliano – SISSA, Trieste, Italy Alberto Mazzoni - Scuola Superiore Sant’Anna Pisa, Italy Michele Migliore - CNR Palermo, Italy Fulvia Palesi – BCC Pavia, Italy Alessandra Laura Giulia Pedrocchi - Politecnico Milano, Italy Michele Piana - University of Genoa, Italy Isabella Pozzi - CWI, Amsterdam Holland Simone Sarasso – University of Milan, Italy The School DIRECTORS: Giovanni Naldi - University of Milan, Department of Environmental Science and Policy, Italy. giovanni.naldi(a)unimi.it<mailto:giovanni.naldi@unimi.it> Thierry Nieus - University of Milan, Italy. thierry.nieus(a)unimi.it<mailto:thierry.nieus@unimi.it> Simone Sarasso - University of Milan, Department of Biomedical and Clinical Sciences “Luigi Sacco”, Italy. simone.sarasso(a)unimi.it<mailto:simone.sarasso@unimi.it> Shyam Diwakar - Amrita Mind Brain Center, Amrita University, India. shyam(a)amrita.edu<mailto:shyam@amrita.edu> Please feel free to circulate! With best wishes, -- Prof. Shyam Diwakar, Ph.D. Director - Amrita Mind Brain Center Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://amrita.edu/mindbrain [https://docs.google.com/uc?export=download&id=1_nOxaCXob6wVcuQyYI5KVk1PhMgi…] [https://intranet.cb.amrita.edu/sig/RankingLogo.png] Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita Vishwa Vidyapeetham. If you received this in error, please contact the sender and destroy any copies of this information.

June 19, 2021

Job: Editor with Nature Machine Intelligence (9 month locum position - London, NY, Berlin)

by Yann Sweeney

Dear all, Nature Machine Intelligence are looking to recruit a locum editor. We are a new Nature Research journal that launched in 2019. It publishes both fundamental and applied research in a wide range of areas in artificial intelligence and robotics. The journal incorporates elements of computer science, electrical engineering, mathematics, physics, neuroscience, cognitive science and psychology. The journal also publishes news, commentary and perspectives on the impact of machine intelligence on science and society. We are inviting applications from those with a background in any of the above and related fields. Applicants should have completed a PhD, have a strong research record, feel driven to continually learn about new fields and trends and have a keen interest in exploring the wide implications of research on other scientific areas, industry and society. We would be interested in hearing from candidates who can demonstrate strong science writing skills. Editorial experience is not required, although applicants with significant editorial experience are encouraged to apply and will potentially be considered for a Senior Editor position. The successful candidate will report to the Chief Editor. They will participate in all aspects of the editorial process, including manuscript selection, commissioning and editing News and Views, Comments, Perspectives and Reviews, as well as writing for the journal. The successful candidate must be dynamic and outgoing, and have excellent communication and interpersonal skills. A key aspect of the job is liaising with the research community through laboratory visits and international conferences, and therefore a willingness to travel is essential. The position is offered on a full-time basis, for an initial fixed term of 9 months, and will ideally be located in our London, Berlin or New York office. The starting date is envisaged as soon as possible within the next few weeks. Full advert here, apply by 22 June: https://career5.successfactors.eu/sfcareer/jobreqcareer?jobId=33925&company… Feel free to email with informal inquiries. All the best, Yann Senior Editor Nature Machine Intelligence yann.sweeney(a)nature.com

June 18, 2021

Postdoc opportunity at Stanford Cognitive and Systems Neuroscience Laboratory

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for post-doctoral positions with expertise in cognitive, systems and computational neuroscience. Candidates must have a PhD and research experience in cognitive neuroscience, psychology, cognitive science, computer science, electrical/biomedical engineering, or related fields. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies of human brain function and psychopathology. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs. We are especially interested in talented and highly motivated individuals with expertise in at least one of these areas: cognitive neuroscience; computational psychiatry; cognitive modeling of behavioral dynamics; computational and statistical analysis of brain imaging and electrophysiological data, including dynamic brain circuit analysis, statistical modeling and Bayesian inference, machine learning, and deep neural networks. Please email your CV and a statement of research interests, explaining how your skills and past experience will advance human neuroscience research, to Prof. Menon at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:461d2e43-3a74-4692-8e70-e709a54c2c86]

June 18, 2021

Postdoc position at Inria Sophia Antipolis

by Etienne Tanré

Dear colleagues, Apologies for Cross-Posting, This is an announcement for a 24 months post-doctoral position at Inria Sophia Antipolis on the theme ``Heterogeneity in interacting neural networks'’. The candidate will be supervised by E. Tanré, R. Veltz and O.Faugeras. This project is part of the Human Brain Project HBP SGA3. More information is available on : https://jobs.inria.fr/public/classic/en/offres/2021-03818 <https://jobs.inria.fr/public/classic/en/offres/2021-03818> Please note that you must apply for the position using the link above. Can you please forward this announcement to your interested contacts? Thank you, Best regards, E. Tanré, R. Veltz and O. Faugeras.

June 17, 2021

Opening: Postdoctoral Researcher in Computational Neuroscience to study network dynamics, brain function, and psychedelics

by Joern Davidsen

Dear all: We are recruiting a talented postdoctoral researcher to participate in a cutting-edge International Network for Brain-Inspired Computation<https://www.nsf.gov/awardsearch/showAward?AWD_ID=2019976&HistoricalAwards=f…> that includes nodes in Montreal, Paris, and the Pacific Northwest of the US and Canada (e.g. University of Washington, Allen Brain Institute). The project is at the intersection of mathematics, physics, and neuroscience in the general area of complex network dynamics and emergent activity patterns and representations that drive biological computation. The specific objective is to understand cognitive brain function and the effects of psychedelics by analyzing large-scale ensemble neural data collected in our labs, in conjunction with computational and/or analytical work to identify key mathematical principles and develop theories of core function. The ideal candidate will have a quantitative background (e.g. PhD in mathematics, physics, computer science) along with experience in applying this background to neuroscience. This postdoctoral position is partially funded by the Pacific Institute for Mathematical Sciences<https://www.pims.math.ca/> and is aimed to strengthen the link between the Campus Alberta computational neuroscience community at the University of Calgary (Complexity Science Group<https://www.ucalgary.ca/complexity/>, Hotchkiss Brain Institute<https://hbi.ucalgary.ca/>) and the University of Lethbridge (Canadian Center for Behavioural Neuroscience<https://www.uleth.ca/artsci/neuroscience/about>) with the other network members including the Computational Neuroscience Center<https://cneuro-web01.s.uw.edu/> at the University of Washington. The position is open immediately with primary locations in either Calgary or Lethbridge. The specific start date has to be within five years of being awarded a PhD degree. The position is funded for at least two years and includes an annual stipend in the range of CAD$42,000 – $50,000 plus benefits. Opportunities for brief residences in partner nodes (Montreal, Seattle, or Paris) are also available. Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Jörn Davidsen (davidsen(a)phas.ucalgary.ca<mailto:davidsen@phas.ucalgary.ca>) and Dr. Aaron Gruber (aaron.gruber(a)uleth.ca<mailto:aaron.gruber@uleth.ca>). Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin July 31st, 2021, and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Davidsen or Dr. Gruber. We strive for a diverse and inclusive environment, and encourage applications from members of any identity. --- Dr. Jörn Davidsen Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/davidsen<http://www.ucalgary.ca/davidsen>

June 16, 2021

PostDoc position in Neuroinformatics, Nijmegen, The Netherlands

by Rembrandt Bakker

(apologies for any cross-postings) The FLAG-ERA project NeuronsReunited is looking for a postdoctoral research associate (Neuroinformatics/Computational Neuroscience) for a 2 year position at 0.9 fte. Each mental event or voluntary motor act involves the coordinated activity of neurons in areas of the brain far apart. Thin, branched and extremely long cellular processes called axons provide the physical substrate of these interactions. Since a few years it is possible to fully trace these long- range axons one at a time. The goal of the FlagERA research project "NeuronsReunited" (https://www.flagera.eu/wp-content/uploads/2020/06/FLAG-ERA_JTC2019_HBP_Neur…) is to create tools for speeding up the conversion of experimental data into digital axons, and to precisely place neurons into a digital reference brain to reveal their context. The tools are applied to existing and new data in mouse, and the resulting insights are incorporated into new models for brain function. The project is a collaboration between five international partners, two experimental partners (Prof. Francisco Clasca, Madrid; Prof. Egidio d'Angelo, Pavia) and three computational/theoretical partners (Prof. Paul Tiesinga, Dr. Rembrandt Bakker, Nijmegen; Prof. Michele Giugliano, Trieste; Prof. Sacha Van Albada, Jülich). As a postdoctoral research associate you will design strategies to get axonal arbors precisely registered in a brain atlas. The brain atlas consists of high-resolution 3d dataset that represents the average mouse brain anatomy, while the neuron consists of a vector representation of its morphology that can be extended with images of selected tissue sections. Depending on your field of expertise, further steps can focus on automating the process to trace neurons from stained tissue sections or to integrate the resulting database of precisely registered neurons with other data modalities to generate new knowledge. You will be part of a team that deals with atlasing and data integration (Nijmegen) and model building (Jülich, Padova, Trieste). A key deliverable will be the creation of a gold standard online catalog of precisely placed neurons that future generations of neuroscientists can contribute to and compare data to. The tools make use of an existing body of work that consists of web-based applications: HBP Morphology Viewer (https://neuroinformatics.nl/HBP/morphology-viewer) Scalable Brain Atlas (https://scalablebrainatlas.incf.org/) and interactive notebooks (Python). Besides being a member of the project team, you will also be part of the European Human Brain Project and have access to the expertise of the large neuroscience community at the Donders Institute for Brain, Cognition and Behavior. We ask: • A PhD degree in a quantitative field (engineering, physics, computational neuroscience, etc). • Expertise in neuroscience or interest in acquiring it. • Excellent programming skills, preferably in JavaScript applications or Python-based pipelines. • Experience with neuroinformatics, visualization/3d-graphics, image processing, and/or machine learning. • Demonstrated ability to work in a multidisciplinary environment at the forefront of science. • Excellent communication skills in spoken and written English. We are: The Donders Institute for Brain, Cognition and Behaviour, home to more than 600 researchers from 35 countries, is a world-class research centre devoted to understanding the mechanistic underpinnings of human cognition and behaviour in health and disease. The institute's mission includes conducting excellent interdisciplinary research at the unique interface between genetic, molecular and cellular processes at one end and computational, system-level neuroscience with cognitive and behavioural analysis at the other end. Within this playing field, the Neuroinformatics department plays an essential role in developing new approaches for both computational modeling and data processing, all with the aim to turn raw data into highly valuable and well-integrated resources from which neuro-scientific insights can be extracted. Radboud University We want to get the best out of science, others and ourselves. Why? Because this is what the world around us desperately needs. Leading research and education make an indispensable contribution to a healthy, free world with equal opportunities for all. This is what unites the more than 22,000 students and 5,000 employees at Radboud University. And this requires even more talent, collaboration and lifelong learning. You have a part to play! We offer: • Employment: 0.9 FTE. • A maximum gross monthly salary of € 4,402 based on a 38-hour working week (salary scale 10). • The exact salary depends on the candidate's qualifications and amount of relevant professional experience. • In addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus. • Duration of the contract: 25 months. • The intended start date is 1 September 2021. • You will be able to use our Dual Career and Family Care Services. Our Dual Career and Family Care Officer can assist you with family-related support, help your partner or spouse prepare for the local labour market, provide customized support in their search for employment and help your family settle in Nijmegen. • Have a look at our excellent employment conditions. They include a good work-life balance (among other things because of the excellent leave arrangements), opportunities for development and a great pension scheme. Apply directly Please use this link to apply: https://www.ru.nl/english/working-at/vacature/online-solliciteren/?tk=uk&re…. Address your application to Paul Tiesinga and submit it no later than 1 July 2021. Your application should include the following attachments: • Letter of motivation. • CV including contact details of two references. • Your research statement. The first round of interviews will take place on 6th July 2021. The second round of interviews will take place on 13th July 2021. For more information about this vacancy, please contact: Paul Tiesinga, Full Professor Tel.: +31 24 365 22 32 Email: p.tiesinga(a)science.ru.nl<mailto:p.tiesinga@science.ru.nl> Rembrandt Bakker, Postdoctoral Researcher Tel.: +31 24 365 26 33 Email: r.bakker(a)donders.ru.nl<mailto:r.bakker@donders.ru.nl> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 16, 2021

Postdoctoral position - Pinto Lab @ Northwestern University

by Lucas Pinto

Dear colleagues, The Pinto Lab<http://www.pintolab.org> is seeking a postdoc who is excited about studying how neural circuits across many brain areas interact to support decision making, at the interface between experimental and computational neuroscience. In particular, the lab is interested in understanding the circuit mechanisms the control how these interactions are flexibly reconfigured when animals make decisions that use different underlying computations. To answer these questions, the candidate will use a combination high-throughput behavior in virtual reality, optical and genetic tools to measure and/or manipulate the dynamics of single neurons and neuronal populations, and computational approaches to understand both the behavior and its relationship to neural activity. We are a brand new lab that started in January 2021 at the Feinberg School of Medicine<https://www.feinberg.northwestern.edu/> at Northwestern University<http://www.northwestern.edu>, located in the heart of Chicago. Come join a vibrant neuroscience community<https://www.nuin.northwestern.edu/> in a world-class and highly livable city, working with a young PI committed to mentoring. Please visit our website<http://www.pintolab.org> for more details. Applicants should be nearing completion or already hold a PhD in neuroscience, biology, engineering, computer science, psychology or other related fields. Coding and/or experimental skills are preferred, but the applicant will have the opportunity to be trained in these techniques. We strongly encourage candidates from underrepresented groups to apply. Please send a CV, a one-page statement of research interests and skills, and contact information for 2-3 references to Lucas Pinto at lucas.pinto(a)northwestern.edu<mailto:lucas.pinto@northwestern.edu>. Best, Lucas - - - - - - - - - - - - - - - - - - - - - - - - - - - Lucas Pinto, M.D., Ph.D. Assistant Professor Department of Physiology Feinberg School of Medicine Northwestern University lucas.pinto(a)northwestern.edu<mailto:lucas.pinto@northwestern.edu> www.pintolab.org

June 15, 2021