- Comp-neuro - lists.cnsorg.org

post-doc position offer on computational analysis of neuroimaging data
by GILSON Matthieu 13 Sep '23

13 Sep '23

URL REFERENCE: https://matthieugilson.eu/positions/Post-Doc_neuroimaging_biomarkers.html JOB TITLE Post-doctorate position to study diagnosis of multimodal neuroimaging data for amyotrophic lateral sclerosis RESEARCH FIELDS Data Science, Neuroimaging, Neurology, Computational Neuroscience PROJECT DESCRIPTION The project aims to develop and test prediction tools for clinical diagnosis from neuroimaging data, with pipelines covering data preprocessing and machine-learning representational techniques. The focus is on amyotrophic lateral sclerosis (ALS), a rare neurodegenerative disease for which no efficient treatment exists. A particular goal is to test the possibility of stratifying ALS patients in subtypes with slow versus fast disease progression. It is based on a dataset of 30 ALS patients and matched controls, acquired on 7T and 3T magnetic resonance imaging (MRI) scanners, which is currently being extended. Specifically, this dataset involves advanced MRI techniques that are promising for neurodegenerative diseases: quantitative and sodium MRI modalities, in addition to usual structural and functional MRI. We thus plan to build a multimodal prediction pipeline such as to test the combination of distinct types of MRI data (graph/network fusion) for clinical prediction. It also includes an international collaboration and aims to compare ALS datasets acquired in different centers. The position lies at the intersection between clinical research in a hospital and a neuroscience laboratory, aiming to bridge the different research cultures from both sides. We provide an interdisciplinary environment with a team of experts in the following fields: • computational neuroscience with Matthieu Gilson (https://matthieugilson.eu) and Xenia Kobeleva (https://xenia-kobeleva.com/) • MRI techniques with Wafaa Zaaraoui (https://crmbm.univ-amu.fr/contact/zaaraoui-wafaa) • neurology with Aude-Marie Grapperon (https://loop.frontiersin.org/people/593696) and again Xenia Kobeleva. JOB OFFER The position consists of 2 contracts for a total duration of 18 months (full time, 35 hours / week), because of combining two sources of funding. The monthly net salary is between 2000 to 2500 euros depending on previous working experience. The work place is at the Institut de Neurosciences de la Timone (INT, https://int.univ-amu.fr) and Center for Magnetic Resonance in Biology and Medicine (CRMBM, https://crmbm.univ-amu.fr) both part of Aix-Marseille University (France). Start date: October 2023 REQUIRED QUALIFICATIONS AND PROFESSIONAL SKILLS We are looking for a candidate that can demonstrate sufficient experience at the PhD level and knowledge in data analysis for neuroscientific data for reaching the project objectives. We seek profiles with solid programming skills in Python (or an equivalent language) combined with a background in the field of neurology. Experience in clinical neuroimaging, markers for neuropathologies and/or computational neuroscience will be favored. Additionally, experience with working in a interdisciplinary team and interest for open science are desired. Women are strongly encouraged to apply. The candidates will also be evaluated on their motivation, with respect to all steps of the process from data acquisition to analysis and scientific communication. CONTACT AND REQUESTED DOCUMENTS Please send a curriculum vitae summarizing your academic and professional trajectory, as well as a motivation letter, to: matthieu.gilson(a)univ-amu.fr -- Matthieu Gilson Chaire de Professeur Junior Aix-Marseille Université Institut de Neurosciences de la Timone https://matthieugilson.eu

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*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) at UC Irvine
by Jeffrey L Krichmar 12 Sep '23

12 Sep '23

*** SAVE THE DATES *** From Animals to Animats 17: The 17th International Conference on Simulation of Adaptive Behavior (SAB 2024) When: September 9-12, 2024 Where: The University of California, Irvine, Irvine CA, USA Website: https://sites.uci.edu/sab2024/ The Simulation of Adaptive Behavior (SAB) interdisciplinary conference brings together researchers in artificial intelligence, artificial life, computer science, cybernetics, ethology, evolutionary biology, neuroscience, robotics, and many other fields, to further our understanding of the behaviors and underlying mechanisms that allow natural animals and artificial agents to adapt and survive in complex, dynamic and uncertain environments. Animats denote the connection between animals and synthetic agents. The conference focuses on models and experiments designed to help characterize and compare various organizational principles and architectures underlying adaptive behavior in real animals and in animats. SAB 2024 solicits contributions dealing with any aspect of adaptive behavior. We especially invite submissions from researchers who connect biology and natural behavior to synthetic agents. Conference papers are peer-reviewed and accepted papers will be published in “From Animals to Animats 17. SAB 2024.” Lecture Notes in Computer Science, Springer. Typical, but not exclusive, topics of interest are: - Artificial Intelligence, Artificial Life, and Computational neuroscience o Action selection, behavioral sequencing o Communication and language o Emotion and motivation o Internal models and representations o Reinforcement learning o Sensory-motor coordination, motor control o Software agents and virtual creatures - Philosophical Issues o Consciousness o Ethics o Mind/Body problem - Robotics o Autonomous robotics o Bio-inspired and hybrid robotics o Cognitive robotics o Developmental robotics o Humanoid robotics o Navigation and mapping o Neurorobotics - Self-Organizing Systems o Body and brain co-evolution o Collective and social behavior o Dynamical systems approaches o Evolutionary and co-evolutionary approaches o Self-assembling and self-replication IMPORTANT DATES (tentative): Paper submission deadline: April 1, 2024 Workshop and Tutorial proposals submission deadline: April 15, 2024 Notice of acceptance: June 30, 2024 Camera-ready papers: July 15, 2024 Conference dates: • Workshops and Tutorials: September 9, 2024 • Main Conference: September 10-12, 2024 ABOUT THE SAB CONFERENCE: SAB started in 1990 (Paris, 24-28 September 1990). After years of great success, SAB has given birth to numerous other conferences (on genetics algorithms, reinforcement learning, swarm intelligence, bio-inspired systems, developmental robotics, etc.). In the forthcoming 17th edition, we want to both celebrate this prior success and expand into trending research areas. Since SAB is held every two years, we want to strengthen the conference as a place to discuss the new trends in all relevant areas from the people bringing breakthrough ideas and results. SAB will continue to have a single-track format, to propose self-critical, thought-provoking, and nurturing discussions among specialists in each area as well as with specialists in other areas, so that the conference will both present the state of the art and inspire new ideas at the cutting edge of science. As steps in this direction, this year we will have a broad range of invited speakers to discuss both, longstanding topics in SAB, and the new trends in (and the future of) the Simulation of Adaptive Behavior. The conference will be held at the CalIT2 Auditorium on the UC Irvine Campus (https://www.calit2.uci.edu) We look forward to welcoming you at SAB 2024! SAB Organizing Committee ----------- Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Autumn School in Comp Neuro/Neurotech/NeuroAI
by O'Donnell, Cian 11 Sep '23

11 Sep '23

Final notice for online applications for our 3rd annual Autumn School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) at Ulster University, Northern Ireland (in-person attendance slots are now full). The School runs from 25-31st October 2023. Topics and lecturers: * Introductory neuroscience / Elaine Murray, Ulster University * Mathematics for neuroscience / Rachel Nicks, University of Nottingham * Computational modelling of plasticity and learning in brains / Cian O’Donnell, Ulster University * Computational modelling of neuronal and glial interactions / Liam McDaid, Ulster University * Modelling the dynamics of decision-making / KongFatt Wong-Lin, Ulster University * Investigating time series neural data: Common signal processing practices / Saugat Bhattacharyya, Ulster University * Fundamentals of functional and effective connectivity / Maria Dauvermann, University of Birmingham * Non-invasive brain-computer interfaces: Enhancing applicability using computational intelligence and technological advances / Girijesh Prasad, Ulster University * Decoding mental imagery from electroencephalography (EEG) and applications of AI-enabled wearable neurotechnology for communication and rehabilitation / Damien Coyle, University of Bath & Ulster University * Brain-inspired spiking neural network models for life-long and explainable learning / Nikola Kasabov, Auckland University of Technology & Ulster University * Introduction to Lifelong Learning / Shirin Dora, Loughborough University * Foundations of Large Language Models / Muskaan Singh, Ulster University * Neuromorphic Engineering / Jim Harkin, Ulster University * Ethical and regulatory issues in Neuroscience There will also be daily computer lab sessions and group projects. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable: £50 for attendees from high-income countries, £20 for attendees from low- and middle-income countries. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for online application is 15th September 2023. Sponsored by generous funding from NeuroCONCISE, IEEE Brain, IEEE Computational Intelligence Society, IEEE EMBS, and g.tec. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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General attendance open for Symposium on the Mathematics of Neuroscience (28th Sept - 1st Oct 2023, Old Town, Rhodes, Greece)
by Battleday, Ruairidh 11 Sep '23

11 Sep '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- General attendance now open; poster sessions still accepting submissions. —---------------- We have finalized the schedule for this year’s conference on the mathematics of neuroscience, and have opened registration for general attendance: www.neuromonster.org Thank you to everyone that made a submission! We will continue to accept submissions for the poster sessions until the 20th September (and, registration for poster sessions includes general conference admission). In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Painful intelligence: What AI can tell us about human suffering Professor Janneke Jehee (Donders Institute) Probabilistic representations in the human visual cortex Professor Peter Latham (UCL) What’s the question and how do we answer it? Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Invited Speakers Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission for poster sessions is by 250-word abstract before the 20th September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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tenure track assistant professor position in auditory systems neuroscience at the University of Pennsylvania
by Maria Geffen 08 Sep '23

08 Sep '23

Dear Colleagues, The Hearing Research Center at the University of Pennsylvania <https://www.med.upenn.edu/pennhearing/> has an opening for a tenure-track assistant professor in auditory systems neuroscience to join our team. Applications are accepted on rolling basis, with preference given to applications received by Oct 16. Application is available here: https://apply.interfolio.com/100900 <https://apply.interfolio.com/100900> Assistant Professor of Auditory Neuroscience, Tenure Track <https://apply.interfolio.com/100900> The Department of Otorhinolaryngology: Head and Neck Surgery <https://www.pennmedicine.org/departments-and-centers/otorhinolaryngology> at the Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> seeks candidates for an Assistant Professor position in the tenure track <https://apply.interfolio.com/100900>. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department <https://www.med.upenn.edu/pennhearing/>, but within the greater neuroscience community in the Perelman School of Medicine <https://mindcore.sas.upenn.edu/> (e.g. the Computational Neuroscience Institute <http://cni.upenn.edu/>) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience <https://www.med.upenn.edu/pennhearing/>. The Perelman School of Medicine <https://www.pennmedicine.org/> at the University of Pennsylvania <http://upenn.edu/> provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. ______________________________________ Maria N. Geffen, Ph.D. (she/her) Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu <mailto:mgeffen@pennmedicine.upenn.edu> My zoom room <https://pennmedicine.zoom.us/my/mgeffen?pwd=eWVFbUJFUGRJZ3g1eU9YZEZic2VwZz09> Follow me @ <https://mastodon.world/@geffenlab>geffenlab(a)mastodon.world <mailto:geffenlab@mastodon.world> @geffenlab.bsky.social <https://bsky.app/profile/geffenlab.bsky.social> http://hosting.med.upenn.edu/hearing <http://hosting.med.upenn.edu/hearing> Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

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free online Vision Courses available
by Li Zhaoping 08 Sep '23

08 Sep '23

These online courses (available at https://zhaoping.thinkific.com/ ) include A very brief introduction of what is known about vision experimentally <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-of-what-is…> A very brief introduction to simple mathematical methods for computational vision <https://zhaoping.thinkific.com/courses/a-very-brief-introduction-to-simple-…> The efficient coding principle <https://zhaoping.thinkific.com/courses/the-efficient-coding-principle> Visual attention and V1 Saliency Hypothesis <https://zhaoping.thinkific.com/courses/visual-attention-and-v1-saliency-hyp…> Visual decoding and recognition <https://zhaoping.thinkific.com/courses/visual-decoding-or-recognition> You can mix and match them for graduate courses in (e.g.,) "Introduction to Vision", "Systems Vision Science", and "Computational Vision". They have been used for teaching in the University of Tuebingen, and are also suitable for self-study. Questions and comments are most welcome! Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

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Special issue on Deep SNNs
by MASQUELIER Timothee 08 Sep '23

08 Sep '23

Dear colleagues, Please consider submitting your work to our Frontiers Research Topic "Deep Spiking Neural Networks: Models, Algorithms and Applications": https://www.frontiersin.org/research-topics/58546/deep-spiking-neural-netwo… Best, Tim ___________________________________________________________________ Timothée Masquelier - timothee.masquelier(a)cnrs.fr - http://cerco.cnrs.fr/pagesp/tim

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Watch our A Eye workshop via Zoom (September 19-22, 2023): 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'
by David Rotermund 08 Sep '23

08 Sep '23

We would like to invite you to watch the talks of our workshop 'Cortical Prostheses - Interdisciplinary Research Towards Artificial Vision for the Blind'. It will take place from 19 to 22 September 2023. If you are interested in watching the talks via Zoom (free of charge), please use the web form at https://www.uni-bremen.de/i-see/hwk-workshop to register. In addition to the registration form, you will also find the abstracts of all the presentations and a provisional timetable (which is in German time) on the website. If you have any questions, please don't hesitate to ask. Here is the list of scheduled talks: Michael Beyeler Human-in-the-Loop Optimization of Simulated Prosthetic Vision Avi Caspi Eye tracking in cortical visual prosthesis - from theory to practice Gislin Dagnelie Early functional outcomes for the first human with the Intracortical Visual Prosthesis (ICVP) Theo Doll Additively Fabricated Cortical Electrodes – a materials challenge Udo Ernst I-See - Evaluating novel approaches for constructing visual cortical prostheses Eduardo Fernandez Jover Towards an advanced cortical visual neuroprosthesis based on intracortical microelectrodes Ione Fine Pulse trains to percepts: Using virtual patients to describe the perceptual effects of human visual cortical stimulation Shelley I. Fried Towards the development of a micro-coil based cortical visual prosthesis Diego Ghezzi High-density wide-area cortical visual prosthesis Umut Guclu Neural Coding and Neuroprosthetics with Deep Learning and Synthetic Reality Michael Herzog A psychophysical approach to object rendering in future V4 prostheses Dirk Jancke Probing electrical brain stimulation in genetically modified mice Arto Nurmikko Wireless Networks of Implanted Microchips for Distributed Cortical Sensing and Stimulation Christopher Pack Design considerations for an extrastriate visual cortical prosthetic Carlos Ponce Estimating the capacity of neuronal population encoding via image reconstructions Bogdan Raducanu Chips to neurons and back: electronic circuits for neural recording and stimulation Pieter Roelfsema Visual perception and consciousness and their restoration when the eyes fail Andreas Schander Development of neural probes for chronic recording and electrical stimulation Michael Schmid Influence of visual cortex stimulation on perception: Insights from experiments in non-human primates Martin Schrimpf Do Topographic ANNs Predict the Behavioral Effects of Neural Interventions in Primate IT Cortex? Fabian Sinz Exploring the Visual System with Functional Digital Twins and Inception Loops Anna Wang Roe A novel interface for cortical columnar neuromodulation with multi-point infrared neural stimulation Daniel Yoshor Implementing a Visual Cortical Prosthetic: Advances and Challenges best wishes David

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Postdoctoral Position at Stevens in Multiphysics Brain Aging Modeling
by Johannes Weickenmeier 06 Sep '23

06 Sep '23

Dear all, We have a post-doc position available on our “white matter damage progression during healthy brain aging” project that is part of a U19 NIH-funded program investigating the Diverse Vascular Contributions to Cognitive Impairment and Dementia (Diverse VCID) to improve meaningful diagnosis for people at risk for dementia: https://diversevcid.ucdavis.edu/ The work will take place within the Soft Tissue Biomechanics group led by Prof. Johannes Weickenmeier at Stevens Institute of Technology: www.weickenmeierlab.com<http://www.weickenmeierlab.com>. This is a full-time position to work on developing computational models to predict deep white matter lesion formation and progression. **Scientific Profile Requested** Requirements: PhD in Mechanical Engineering, Physics, Computer Science, Maths, and related fields. Skills and track-record: * Constitutive modelling of soft tissues, numerical simulation, multiphysics modeling * Analytical study of numerical simulations * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in computational mechanics, biophysics, and/or constitutive modeling * Interest to work in interdisciplinary research at the interface of engineering, health, and medicine Deadline: ASAP Required Application Materials: CV Looking forward to your applications, Johannes Weickenmeier _______________________________________ Johannes Weickenmeier, PhD, Assistant Professor and Director of the Center for Neuromechanics Stevens Institute of Technology | Department of Mechanical Engineering | phone: 201-216-5527 | pronouns: he/him/his | Soft Matter Biomechanics: www.weickenmeierlab.com<https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.weicke…>

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Subject: COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Extended Sept 11, 2023
by Fabian Braesemann 06 Sep '23

06 Sep '23

You are cordially invited to submit your contribution until September 11, 2023 (Extended Firm Deadline). 12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> KEYNOTE SPEAKERS • Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK • Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA • Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy • Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA • Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain • Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS • Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria • Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK SUBMISSION You can submit at : https://complexnetworks.org/submission/ • A Full paper (not previously published work up to 12 pages) • An Extended Abstract (about published or unpublished research up to 4 pages) PUBLICATION • Papers will be included in the conference proceedings edited by Springer • Extended abstracts will be published in the Book of Abstracts (with ISBN) • Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems<https://plos.org/complex-systems-research-journal/> o PLOS<https://journals.plos.org/plosone/> one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann 06 Sep '23

06 Sep '23

Enrolments for the Modeller’s Workshop for the Brain Dynamics Toolbox are now open. Master the art of programming dynamical systems in Matlab using the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to build their own models. Each step is explained in a short video lecture with a practical focus on programming techniques. Topics include Ordinary Differential Equations (ODEs), Delay Differential Equations (DDEs), Stochastic Differential Equations (SDEs), Partial Differential Equations (PDEs), model-specific plotting functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close 30th Sep 2023. Stewart Heitmann 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.

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Register today: INCF Neuroinformatics Assembly 2023
by INCF 05 Sep '23

05 Sep '23

There's still time to register for Assembly! *INCF Neuroinformatics Assembly 2023* *Sep 18-20, 2023* *Virtual via Gather* Abstracts due Sep 11, 2023 Regular registration: 50 USD Student registration: 20 USD **Discounted registration for INCF members** Learn about and share the latest advancements in neuroinformatics! This year’s theme is Transparency in FAIR Neuroinformatics and the following topics will be represented at the assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - Neuroscience data integration through use of Digital Brain Atlases - *2 PhD credits!* - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools *Register today: *neuroinformatics.incf.org/assembly22-registration *Submit your abstract: *neuroinformatics.incf.org/abstract-submission *Learn more: *neuroinformatics.incf.org

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Two postdoctoral (senior research officer) positions in Essex Brain-Computer Interfaces and Neural Engineering Laboratory
by Poli, Riccardo 05 Sep '23

05 Sep '23

Dear all, We have two senior research officer (post-doc) jobs available on our “semantic brain-computer interface” project led by Dr Ian Daly with myself (Riccardo Poli) and Silke Paulmann (in Psychology) within the Essex Brain-Computer Interfaces and Neural Engineering Laboratory.<https://www.essex.ac.uk/departments/computer-science-and-electronic-enginee…> These are three-year full-time positions to work on developing decoding models for EEG-fNIRS signals and BCI devices. Full details: https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.ope… Deadline: 13th October 2023 Many thanks, Riccardo -- Prof Riccardo Poli https://www.essex.ac.uk/people/polir15101/riccardo-poli E-mail: rpoli(a)essex.ac.uk<mailto:rpoli@essex.ac.uk> Zoom: https://essex-university.zoom.us/my/rpoli Address: School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ, UK

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postdoc position announcement at INMED (Marseille)
by Lorenzo Fontolan 01 Sep '23

01 Sep '23

An ERC-funded postdoctoral position is available in the Cossart lab at the Mediterranean Institute of Neurobiology (INSERM, Aix-Marseille University, Marseille, France) to work in a collaborative, interdisciplinary, and friendly environment (by the Calanques). The Cossart lab aims at understanding memory circuits in the brain and describing how they develop in health and disease. To this aim, we use cutting-edge optical, computational, and data analysis methods. The candidate will apply their skills to extract information from our datasets, build computational models to make predictions, and work in close collaboration with experimentalists. The candidate will be co-supervised by Dr. Lorenzo Fontolan, a computational neuroscientist who recently started his research group at Inmed. Starting date fall/winter 2023. We especially invite applications from prospective postdocs with backgrounds in physics, applied mathematics, and electrical engineering. To apply, please send a CV, a short statement containing research interests and previous experience, and two names of references with contact information to: *rosa.cossart(a)inserm.fr <rosa.cossart(a)inserm.fr> *and* lorenzo.fontolan(a)inserm.fr <lorenzo.fontolan(a)inserm.fr>* Lorenzo Fontolan -- Group Leader *Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la Méditerranée & Centre de Physique Théorique Université Aix-Marseille, France* *https://www.inmed.fr/neural-computation-and-dynamics <https://www.inmed.fr/neural-computation-and-dynamics>* *https://centuri-livingsystems.org/l-fontolan/ <https://centuri-livingsystems.org/l-fontolan/>*

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Postdoc position in Bilbao on open-ended network self-organization
by Miguel Aguilera 01 Sep '23

01 Sep '23

Hi all, We are offering one postdoc position on self-organized network modelling at the Basque Center for Applied Mathematics in Bilbao (Basque Country, Spain) under the supervision of MIguel Aguilera. DETAILS: **Postdoctoral Fellow on open-ended, self-organized, bio-inspired networks** Topics: One of the outstanding challenges in modelling living and cognitive systems is to capture their ability to continuously adapt and develop. Our behavioural responses are not fixed but driven instead by a complex ecology, composed of myriads of fluid and inconspicuous neurodynamical patterns that have slowly grown on us. AI models like neural networks can capture complex behaviours, but often this open-ended, liquid and ongoing reconfiguration is incredibly challenging to reproduce with static topologies. In contrast, liquid neural networks (or 'liquid brains') are a widespread class of networks with a particular feature: nodes (which may represent 'neurons' or 'agents' and typically all share identical rules) not only process information from neighbour nodes, but they also dynamically modify their network connections, e.g. by moving in space. These networks show how neural-like processing typically associated with static physiological networks can also emerge from fluid collective interaction, dynamically exploring configuration spaces beyond standard connection weight changes. Examples of this kind of model include collective decision-making and fluctuations in ant colonies or idiotypic cascades in immune networks. Objective: The aim of this project is to develop a theory of learning in liquid brains, focused on two aspects: 1) How do liquid brains learn? How is this process different from static neural networks?, and 2) what is the adaptive potential of liquid brains when they are embodied as an agent in interaction with a changing external environment? Answering these questions has the potential to extend the idea of liquid brains from a theoretically deep and intriguing concept to a useful tool available to the machine learning community. Specifically, liquid brains could afford more open-ended, self-improving systems, exploiting fluid reconfiguration of nodes as an adaptive dimension which is generally unexplored. This could also allow modes of learning that avoid catastrophic forgetting, as reconfigurations in the network are based on reversible movement patterns. In terms of technology transfer, this advances can also have important implications for new paradigms like edge computing. PI in charge: Miguel Aguilera <https://maguilera.net/> Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ - 35.360€ according to experience. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent). Contract and offer: 1 + 1 years Deadline: 8TH September 2023, 14:00 CET How to apply: Applications must be submitted on-line at: https://joboffers.bcamath.org/apply/ic2023-08-postdoctoral-fellow-in-open-e… **Scientific Profile Requested** Requirements: PhD in Physics, Engineering, Computer Science, Maths, Artificial Intelligence, Computational Neuroscience and related fields. Skills and track-record: * Modelling experience with complex or neural network models, e.g. Hopfield networks, Ising models, Boltzmann machines, sandpile models, flock/swarm/insect colony models. * Solid programming skills * Analytical study of stochastic processes * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in complex systems, neural network modelling, biophysics, information theory and/or statistical mechanics * Interest to work in interdisciplinary research projects Application and Selection Process Formal Requirements: The selected candidate must have applied before the application deadline online at the webpage https://joboffers.bcamath.org/ The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile. Additional documents could be requested during the evaluation process so as to check this fulfilment. Application: Required documents: * CV * Letter of interest * 2 recommendation letters * Statement of past and proposed future research (2-3 pages) Evaluation: Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered. Incorporation: As soon as possible -- Miguel Aguilera | Ikerbasque Research Fellow | BCAM – Basque Center for Applied Mathematics |https://maguilera.net

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Kempner Research Fellows
by Cengiz Pehlevan 01 Sep '23

01 Sep '23

The Kempner Institute at Harvard University has opened the application for the next cohort of Kempner Research Fellows. The application is open now and will close on October 9, 2023. The 3 year fellowship provides a generous stipend, funding for research, and access to our GPU cluster. We seek candidates who are working on or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g., development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g., achieving a better understanding of deep learning). To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and at the latest, have received their PhD no earlier than 9/1/2021. See this link for more information and how to apply: https://www.harvard.edu/kempner-institute/opportunities/the-kempner-institu… Email KempnerInstitute(a)harvard.edu <mailto:KempnerInstitute@harvard.edu> for any questions about the position.

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Postdoc Position in Hamburg, Germany
by Jan Gläscher 31 Aug '23

31 Aug '23

Dear Colleagues, there is a Postdoc position for 4 years (starting January 2024) available in my lab to work on a project on dynamic belief updating in stochastic and changing environments using computational modeling of behavior, combined EEG-fMRI, and eye-tracking. Details can be found here <https://drive.google.com/file/d/1neec58x-6RQe-WuKt33xJRJPIhZzm-We/view?usp=…>. Our lab is at www.glascherlab.org <https://www.glascherlab.org/>. Best wishes, Jan Jan Gläscher, Ph.D. Research Group Leader “Valuation and Social Decision-Making" Institute for Systems Neuroscience University Medical Center Hamburg-Eppendorf Germany -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vorsitzender), Joachim Prölß, Prof. Dr. Blanche Schwappach-Pignataro, Marya Verdel _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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PhD position on neuromorphic electronic systems for artificial olfaction
by Jakob Jordan 30 Aug '23

30 Aug '23

(fowarded on behalf of Dr. Kevin Max, University of Bern, Switzerland) Dear colleagues, as part of our new project SYNCH: neuromorphic electronic systems for artificial olfaction, we are looking for a PhD candidate interested in working on neuromorphic hardware integration. The position is open at the department of Electrical Engineering at TU Eindhoven, the Netherlands. If you are interested or know somebody who is, please consider the following link: https://jobs.tue.nl/en/vacancy/phd-position-on-neuromorphic-electronic-syst… Cheers, Kevin

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2024 NERF PhD Program
by pedro goncalves 30 Aug '23

30 Aug '23

Dear all, Want to do a PhD in neurosciences? Join us - we're recruiting! Neuro-Electronics Research Flanders (NERF) is an interdisciplinary research center located in Leuven, Belgium. We study neuronal circuits and develop new technologies to link circuit activity to brain function. We offer students an opportunity to carry out cutting-edge systems neuroscience research in an international and collaborative environment, with multi-disciplinary training and access to advanced neurotechnologies. More details about the positions and NERF can be found at https://nerfphdcall.sites.vib.be/en Best wishes, Pedro Gonçalves --------------- Pedro Gonçalves Principal Investigator at NERF, a joint research initiative by imec, VIB, and KU Leuven https://goncalveslab.sites.vib.be/en

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The Bernstein Conference 2023 in Berlin is approaching
by Alexander Lammers 30 Aug '23

30 Aug '23

***The Bernstein Conference 2023 in Berlin is approaching*** ___ The Bernstein Conference 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 renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. All information: https://bernstein-network.de/bernstein-conference/ ___ Events Bernstein Conference: Sept 26 - 29, 2023 Satellite Workshops: Sept 26 – 27, 2023 Main Conference: Sept 27 – 29, 2023 Postdoc Meeting: Sept 27, 2023 PhD Symposium: Sept 29 – 30, 2023 ___ Schedule Find the detailed schedule here: https://bernstein-network.de/bernstein-conference/program/schedule/ ___ Registration Registration Deadline: Sept 13, 2023 On-site registration possible if sufficient places are available. All information: https://bernstein-network.de/bernstein-conference/registration/ ___ Invited Speaker Opening Lecture Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsbury Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria) Adrien Peyrache (McGill University, Canada) Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA) Christopher Summerfield (University of Oxford and Deepmind, UK) Julia Veit (Albert-Ludwigs-Univesität Freiburg, Germany) ___ Conference Committee Robert Gütig (Conference Chair) Tatjana Tchumatchenko (Program Chair) Srdjan Ostojic (Program Vice Chair) Anna Levina (Workshop Chair) Maria Eckstein (Workshop Vice Chair) & Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ___ FAQ & Contact Find FAQs here: https://bernstein-network.de/bernstein-conference/general-information/impor… For any further questions, please contact: bernstein-conference(a)fz-juelich.de<mailto:bernstein-conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Faculty positions at Okinawa Institute of Science and Technology, Japan
by Erik De Schutter 30 Aug '23

30 Aug '23

Dear computational neuroscientists, OIST is recruiting in all areas of science, but assistant professor level recruitment in computational neuroscience is a priority for the coming years to reinforce our strength in CNS. So go ahead and apply, we’re actively looking for female candidates. Apply at https://groups.oist.jp/facultypositions

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Bordeaux Neurocampus: 1st Open Science Workshop
by Fjola Hyseni 30 Aug '23

30 Aug '23

To whom it may concern, I would like to diffuse an email about the 1st Open Science Workshop in Bordeaux. -------------------------------------------------------------------------------------------------------------- Hey, Open Science enthusiast! Are you ready to dive into a whirlwind of knowledge, fun, and free lunch? Our Open Science Workshop <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/> is just around the corner, and trust us, you won't want to miss it! Get ready to be blown away by some seriously cool speakers who are pushing the boundaries in the world of Open Science! And the best part? It's completely FREE to attend! Yup, you read that right – no registration fees! Lunch and coffee are also included & free because great minds need some fuel. 📅 When: October 16th- 20th 🕒 Where: Neurocampus - University of Bordeaux 💡 What: A One-Week Open Science Workshop 💸 Travel grants: YES! Coming from outside of Bordeaux? No problemo, we have a few travel grants available! ✅ Training hours: Yup! This week can be validated as training hours! Soon, the course will be on ADUM! 📝 Where to apply: Click HERE <https://bordeaux-neurocampus.github.io/OS-Workshop-2023/apply>! 👥 Who can apply: Anyone working in research and interested in improving their practices! 🗣️ Feel free to pass this message to a friend – the more, the merrier! We look forward to welcoming you to this amazing workshop! Sincerely, The Organizers

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Postdoc - Computational Neuroscience
by Aaron Milstein 29 Aug '23

29 Aug '23

Dr. Aaron Milstein, Assistant Professor of Neuroscience and Cell Biology, is seeking a postdoc to join his computational neuroscience lab at Rutgers University in Piscataway, NJ. Projects in the lab focus on understanding a newly discovered form of synaptic plasticity that depends on dendritic spikes called behavioral timescale synaptic plasticity (BTSP). We hypothesize that this plasticity mechanism is involved in coordinating supervised learning across multiple brain regions. Ideal candidate: – Interested in bio-inspired neural networks and/or neural circuits – Enjoy learning and tackling difficult research questions – Completed (or close to completing) a PhD – Have research experience in a relevant topic (e.g. Neuroscience, Computational Neuroscience, Computer Science, Machine Learning, Bioengineering, etc.). What we offer: – A supportive work environment in a fun international team with room to develop your own project – The option to collaborate with other world-class neuroscience and engineering labs at Rutgers and beyond – Opportunities to travel to national and international conferences – Healthcare coverage – Salary in line with the NIH payscale (based on years of experience) You can learn more about the lab here: https://milsteinlab.com We look forward to hearing from you! Please apply at the following link: https://jobs.rutgers.edu/postings/204606

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Call for abstracts extended (Sept 3rd): Symposium on the Mathematics of Neuroscience, Rhodes, Greece, Sept 28th-Oct 1st, 2023
by Battleday, Ruairidh 29 Aug '23

29 Aug '23

Fourth International Symposium on the Mathematics of Neuroscience. 28th September - 1st October 2023, Old Town, Rhodes, Greece. —---------------- Deadline extended (Sept 3rd): Call for abstracts —---------------- Our deepest gratitude to all of you that have submitted so far! We are extending our invitation to submit abstracts for this year’s conference on the mathematics of neuroscience until September 3rd: www.neuromonster.org In this exploratory symposium, we present and discuss general mathematical models of brain function. We give priority to those models that account for brain or behavioural data, or provide simulations to that effect. Submissions will be assigned to either a short talk, spotlight talk, or poster presentation. Keynote Speakers Professor Aapo Hyvärinen (University of Helsinki) Professor Janneke Jehee (Donders Institute) Professor Peter Latham (UCL) Session Chairs Probabilistic models: Dr Ruairidh McLennan Battleday (Harvard / MIT) Neurotheory: Dr James Whittington (Oxford / Stanford) Biocomputation: Professor Dan V. Nicolau (King’s College London / Oxford) Representational alignment: Dr Ilia Sucholutsky (Princeton) Confirmed Talks Professor Andrew Adamatzky (UWE) Professor Dan Nicolau Sr (McGill) Professor Bill Thompson (Berkeley) Professor Bradley Love (UCL) Professor Iris Groen (Amsterdam) Dr Thomas Parr (UCL) Dr Ilias Rentzeperis (SNRC) The symposium will be held virtually or in-person on the island of Rhodes, Greece from the 28th September - 1st October 2023 (www.neuromonster.org) Submission is by 250-word abstract before the 3rd September 2023, emailed to the session chairs at battleday(a)thinkingaboutthinking.org, indicating the desired session. -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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Faculty position at Cold Spring Harbor Laboratory in computational neuroscience
by Benjamin Cowley 28 Aug '23

28 Aug '23

Hi all, Cold Spring Harbor Laboratory has an open search for a faculty position in computational/theoretical neuroscience. Applications are due Nov. 15, 2022. https://www.cshl.edu/about-us/careers/faculty-positions/ Here is the job description: Cold Spring Harbor Laboratory (CSHL) is seeking to fill a faculty position 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. Cold Spring Harbor Laboratory is a world-renowned research and educational institution with programs in cancer, neuroscience, plant biology, genomics, and quantitative biology. Located on the North Shore of Long Island 30 miles from New York City, the Laboratory has a rich and successful research environment rooted in interdisciplinary collaboration as well as an innovative graduate school that attracts talented students each year. CSHL is committed to fostering a diverse work environment that values best practices in mentorship, equity, and inclusion. Successful candidates will be expected to establish productive research programs while mentoring diverse groups of students and postdocs. Applications are strongly encouraged from groups historically underrepresented in science, including women and U.S. racial/ethnic minority populations. To apply, please submit a cover letter, CV, description of research accomplishments, statement of future research plans, and a statement of diversity & mentoring to: https://cshl.peopleadmin.com/postings/20153 Position ID 03299-R; letters of reference will be requested separately. The statement of diversity & mentoring should describe a candidate’s mentoring philosophy, contributions to equity and inclusion in science, and prior training (as applicable) in mentoring, academic management/leadership, and antidiscrimination/antiracism. We will begin considering applications on a rolling basis on October 5, 2022, and applications will be considered until *November 15*. Inquiries regarding the search should be directed to: CSHLfacultyjobs(a)cshl.edu

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