- Comp-neuro - lists.cnsorg.org

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

12 th International Conference on Complex Networks & Their Applications Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023 You are cordially invited to submit your contribution until September 02, 2023. SPEAKERS - ● Michael Bronstein University of Oxford UK - ● Kathleen Carley Carnegie Mellon University USA - ● Manlio De Domenico University of Padua Italy - ● Danai Koutra University of Michigan USA - ● Romualdo Pastor-Satorras Univ. Politècnica de Catalunya Spain - ● Tao Zhou USTC China TUTORIALS - ● Tiago de Paula Peixoto CEU Vienna Austria - ● Maria Liakata Queen Mary University of London UK PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. - ● 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 edited by Springer o Advances in Complex Systems edited by World Scientific o Complex Systems o Entropy edited by MDPI o PLOS one o Social Network Analysis and Mining edited by Springer SUBMISSION https://complexnetworks.org/submission/ 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) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

June 19, 2023

Research Associate/PhD (m/f/d) at the Division of Psychological Methods and Statistics, Oldenburg, Germany

by Jörge Minula

Dear Members, I would like to bring to your attention a PhD position available at the Division of Psychological Methods and Statistics, University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula ------------------------------------------------------------------------------------ School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, there is close cooperation with the University Medicine of the University of Groningen. In the organization unit for Psychological Methods and Statistics of the Department of Psychology there is a vacancy for a *Research Associate/PhD (m/f/d) **starting October 2023 *for a limited period of 3 years. There is the possibility of personal scientific qualification (doctorate/post-doctoral thesis). The position is suitable for part-time work. At the Division of Psychological Methods and Statistics we develop and apply multivariate statistical modeling techniques and technologically advanced instrumentation for research in behavioral and health sciences. By means of these tools, applicable to modeling neurometric (EEG, DTI, fMRI, fNIRS) and psychometric data, collected within and outside the lab, we aim to understand individual differences and intraindividual fluctuations in typical and disordered sensory, cognitive and emotional processing and their behavioral outcomes across the lifespan – from neonatal age to late adulthood. The methodological and substantive topics we work at are diverse, but they inspire each other. We are committed to implementing Open Science techniques to foster reproducibility in our research and beyond. The position advertised here will work on structural and functional neuroimaging with the aim of developing advanced methods (complex dynamic networks) for measuring neuromarkers of cognitive sequelae after preterm birth. Tasks include: - Collaboration in teaching (4 LVS) - Research with close links to the research priorities of the working group and the above elaborated topic - Writing scientific papers - Presenting results at scientific conferences - Engaging with Open Science practices and contributing to the Department's Open Science Interest Group ( https://uol.de/stellen?stelle=69636) Recruitment requirements: - Completed scientific university studies (Diploma / Master) in the field of Psychology, Cognitive Neuroscience and related disciplines - Neuroimaging data analysis experience - Robust and broad knowledge of multivariate statistics, including Structural Equation Modeling - Knowledge of standard machine learning tools - Very good programming skills on R and Python Advantageous are: - Knowledge in clinical, personality, social and / or cognitive neuroscience - Very good scientific presentation skills - Prior experience with Open Science practices We offer: - A friendly and diverse work environment - A close mentoring toward an academic career - Payment in accordance with collective bargaining law (special annual payment, company pension scheme, asset-related benefits) incl. 30 days annual leave - Support and guidance during your induction phase - A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work - Benefits from the university's health promotion programme - An extensive free further education programme as well as our own scientific promotion of young academics (https://uol.de/medizin/nachwuchs ) - Salary: E13 TV-L, 100% ( https://lohntastik.de/od-rechner/tv-gehaltsrechner/TV-L/E-13/1) The University of Oldenburg aims to increase the proportion of women in the academic field. Therefore, women are strongly encouraged to apply. According to § 21 para. 3 NHG, female applicants should be given preferential consideration if their qualifications are equivalent. Applicants with disabilities are given preference in the event of equal suitability. For further information, please contact Prof. Dr. Andrea Hildebrandt ( https://uol.de/psychologie/statistik/prof-dr-andrea-hildebrandt) How to apply: Follow the description at https://uol.de/stellen?stelle=69636

June 19, 2023

PhD/postdoc position (fully funded) in resource-efficient probabilistic inference

by Luigi Acerbi

Dear all, I am looking for a postdoc or PhD student in *Resource-Efficient Probabilistic Machine Learning*, to join our group <https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence> at the Department of Computer Science, University of Helsinki, with applications in model fitting of complex computational models in cognitive science and AI. The position is full-time, funded for 4 years (PhD) or 2+2 years (postdoc) and will be filled as soon as possible, with a starting date in autumn 2023. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled. *For the full ad:* https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/ph… *Brief project description:* The main goal of the project is to extend and improve on our VBMC framework for efficient probabilistic inference with moderately-to-very expensive models, published in multiple papers (e.g., Acerbi, NeurIPS 2018 <https://arxiv.org/abs/1810.05558>; Acerbi, NeurIPS 2020 <https://arxiv.org/abs/2006.08655>), available in MATLAB <https://github.com/acerbilab/vbmc> and recently released for Python <https://github.com/acerbilab/pyvbmc>. We aim to perform Bayesian inference for parameters of complex, expensive state-of-the-art models in fields such as cognitive science and AI. An example is the AI-inspired model of human gameplay from Wei Ji Ma's group (van Opheusden et al., Nature 2023 <https://nature.com/articles/s41586-023-06124-2>). The project includes funding for research visits to international collaborators such as Wei Ji Ma <https://www.cns.nyu.edu/malab/> at New York University and Michael Osborne <https://www.robots.ox.ac.uk/~mosb/> at the University of Oxford. We also have many local collaborators, such as Antti Honkela <https://www.cs.helsinki.fi/u/ahonkela/> for applications of sample-efficient inference to privacy, and our team is highly involved in the thriving & highly collaborative community of probabilistic ML/AI researchers — PhDs, postdocs, PIs — in the Finnish Center for Artificial Intelligence FCAI <https://fcai.fi/>, on top of many ongoing national and international collaborations in cognitive science and computational neuroscience. Best wishes, Luigi -- Luigi Acerbi, Ph.D. Assistant Professor of Machine and Human Intelligence Department of Computer Science, University of Helsinki Lab: http://www.helsinki.fi/machine-and-human-intelligence

June 16, 2023

Systems Vision Science Symposium – Program available

by Pavlovic, Maria

Systems Vision Science Symposium Aug. 22-24, 2023 in Tübingen, Germany The program is now available here: https://summerschool.lizhaoping.org/contributions-for-symposium/ We still have limited space available <https://summerschool.lizhaoping.org/contributions-for-symposium/> registration to the symposium is accepted until space is filled! Presentation topics by the invited speakers will be ® Topics in Systems Vision Science ® The power of two: New perspectives on binocular vision ® Central versus peripheral vision We are pleased to announce our symposium's keynote speaker: Marty Sereno. The keynote speech will be on August 22, 2023 Invited speakers of the Systems Vision Science Summer School and Symposium include: Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einhäuser-Treyer, Karl Gegenfurtner, Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot, Laurence Maloney, Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read, Alexander Schütz, Manuel Spitschan, Kristina Visscher, Li Zhaoping. Our symposium takes place at the end of our Systems Vision Science summer school Aug. 14-24, 2023. Please direct inquiries to svs.summerschool(a)tue.mpg.de <mailto:svs.summerschool@tue.mpg.de> -------------------------------- Organizing team: Li Zhaoping Ulf Lüder Maria Pavlovic Junhao Liang Max Planck Institute for Biological Cybernetics University of Tuebingen <http://www.lizhaoping.org> www.lizhaoping.org

June 15, 2023

Postdoctoral Fellow Position in Brain Imaging Computing, Lehigh University, USA

by Yu Zhang

*Postdoctoral Research Fellow Position in Brain Imaging Computing* *Lehigh University, USA* The Brain Imaging and Computation Laboratory (BIC Lab) at Lehigh University has an opening position for Postdoctoral Research Fellow in brain imaging computing. *Position description:* The research projects will focus on developing and applying a variety of machine learning/deep learning methods for brain imaging analysis and prediction. The successful applicants will contribute to research and development in artificial intelligence (AI)-driven neural biomarker discovery using multimodal neuroimaging techniques (e.g., MRI and EEG) for precision medicine of various brain diseases. *Qualifications:* Successful applicants will have a Bachelor’s or Master’s degree in Electrical Engineering, Biomedical Engineering, Computer Science, or other related fields, and strong motivation to do high-quality research in novel brain imaging computing with machine learning. Additionally, strong quantitative skills and a programming background (Python and/or Matlab) are important. Previous research experiences in related fields and scientific publications in journals/conferences are preferred. *Lehigh University:* Lehigh University is a premier research university in the United States, consistently ranked in the top tier of national research universities each year. It is a coeducational, nondenominational, private university that offers a distinctive academic environment for undergraduate and graduate students from across the globe. The University campus is located in Pennsylvania’s scenic Lehigh Valley, with a driving distance of 1 hour to Philadelphia and 2 hours to New York City. *Application:* Interested candidates should send their CV and a cover letter describing research accomplishments and interests to Dr. Yu Zhang at yuzi20(a)lehigh.edu The application materials will be reviewed immediately once received. The starting date for this position is immediate but negotiable. Best regards, Yu Zhang, PhD Assistant Professor Department of Bioengineering Department of Electrical and Computer Engineering Lehigh University Webpage: http://yuzhangresearch.weebly.com/ Email: yuzi20(a)lehigh.edu

June 15, 2023

Please share: Call for investigator-led session abstracts!

by INCF

Hello! INCF is looking for applications to investigator-led sessions at INCF Assembly 2023! Please forward this email or share the following posts with your community through your social media channels, newsletters, or other communication streams: *1. Retweet this post! <https://twitter.com/INCForg/status/1668994420090306561?s=20>* *2. Share this post on Twitter!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts! 🧠* *📅 Abstract deadline: Jun 23Submit y* *our abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* *#FAIR #neuroscience #OpenScience* *3. Share this post on your social media channel of choice!* *📢Call to present at INCF Neuroinformatics Assembly 2023!📢* *Want to speak in investigator-led talks on FAIR neuroscience? INCF is calling for abstracts!* *INCF's annual Assembly is a unique venue where neuroscience researchers, tool developers, standards developers, and infrastructure providers can meet with potential collaborators and hear about the latest advancements in neuroinformatics and FAIR neuroscience.* *Abstract deadline: Jun 23* *Submit your abstract today: bit.ly/INCFAssembly2023ILPA <http://bit.ly/INCFAssembly2023ILPA>* Thanks for your help, and see you at Assembly! /The INCF Team

June 14, 2023

Bernstein Conference 2023 - Deadline for contributed talks coming up

by Bernstein Communication

Deadline for contributed talks for the Bernstein Conference 2023 in Berlin is coming up +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks of the Bernstein Conference 2023 in Berlin. +++ ____ 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. www.bernstein-conference.de ____ IMPORTANT DATES * Bernstein Conference: September 26 - 29, 2023 * Deadline for submission of abstracts to be considered for contributed talks: June 21, 2023 * Deadline for poster abstract submission: July 19, 2023 ____ 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). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ INVITED SPEAKERS Keynote Marlene Cohen (University of Chicago, USA) Invited Talks Tiago Branco (Sainsburry Wellcome Center, UK) Stefano Fusi (Columbia University, USA) Ann Kennedy (Northwestern University, USA) Julija Krupic (University of Cambridge, UK) Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany) 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. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens, Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

June 14, 2023

decision neuroscience postdoc at UL

by Tobias U. Hauser

Dear all We have a postdoc position at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging to fill this summer. The eligible candidate should have a strong background in fMRI and decision making. They will join the developmental computational psychiatry group, working on innovative topics, such as structure learning, complex decision making and mental health. The focus will be on conducting fMRI research with the possibility to do computational modelling. If you are interested, please see the advert here: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=5227&n… Deadline is the 18th June, approaching quickly! Please reach out in case of questions. Best Tobias -- Play smartphone games and help us understand the brain: www.brainexplorer.net Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk https://ucl.zoom.us/j/7601915601 www.tobiasuhauser.com www.devcompsy.org

June 14, 2023

Open postdoctoral, Ph.D., and research assistant positions in Computational Neuroscience at UCLA

by MARIO DIPOPPA

Dear colleagues, We seek outstanding applicants who are interested in developing theoretical models to investigate fundamental questions in Computational and Theoretical Neuroscience. The selected candidates will be working on questions addressing how brain computations emerge from the dynamics of the underlying neural circuits and how the neural code is shaped by computational needs and biological constraints of the brain. To tackle these questions, we employ a multidisciplinary approach that combines state-of-the-art modeling techniques and theoretical frameworks, which include but are not limited to data-driven circuit models, biologically realistic deep learning models, abstract neural network models, machine learning methods, and analysis of the neural code. Our research team, the Theoretical and Computational Neuroscience Laboratory, is on the main UCLA campus and enjoys close collaborations with the world-class neuroscience community there. The lab, led by Mario Dipoppa, is a cooperative and vibrant environment where all members are offered excellent scientific training and career mentoring. We have multiple open positions at different levels. For all these positions, we offer competitive salaries and benefits. Postdoctoral positions. We are looking for candidates, who are eager to solve fundamental questions with a creative mindset. Candidates should have a strong publication track record in Computational Neuroscience or a related quantitative field, including but not limited to Computer Science, Machine Learning, Engineering, Bioinformatics, Physics, Mathematics, and Statistics. Candidates holding a Ph.D. degree interested in joining the laboratory as postdoctoral researchers should submit a CV including a publication list, a copy of a first-authored publication, a research statement describing past research and career goals (max. two pages), and contact information for two academic referees. Ph.D. positions. We are looking for candidates with a profound curiosity for exploring novel research directions in Computational Neuroscience. Candidates should have a strong academic track record in a quantitative field. Candidates interested in joining the laboratory as Ph.D. students should first enroll in one of the graduate programs at UCLA. Informal inquiries on the appropriate graduate program are welcome by email. Candidates should attach a CV and a description of their research interest in their inquiries. Research assistant positions. We are looking for candidates with a keen interest in gaining research experience in Computational Neuroscience, pursuing their own projects, and supporting those of other team members. Candidates should have a bachelor's or master's degree in a quantitative discipline and strong programming skills, ideally in Python. Candidates interested in joining the laboratory as research associates should send a CV, a research statement describing past research and career goals (max. one page), and contact information for two academic referees. UCLA is an Affirmative Action / Equal Opportunity Employer (AA/EOE). We strive to promote an inclusive and collaborative work environment. We welcome applications from diverse backgrounds and perspectives. Individuals from underrepresented groups are strongly encouraged to apply. We strongly encourage candidates to apply early as applications will be reviewed until the positions are filled. The positions are available immediately with a flexible starting date. Please submit the application material as a single PDF file with your full name in the file name to mdipoppa(a)g.ucla.edu. Informal inquiries are welcome. For more details visit www.dipoppalab.com. All the best, Mario Dipoppa -- *Mario Dipoppa, PhD* Assistant Professor *University of California, Los Angeles* *Department of Neurobiology* *David Geffen School of Medicine* *https://www.dipoppalab.com <https://www.dipoppalab.com>* *mdipoppa(a)g.ucla.edu <mdipoppa(a)g.ucla.edu>*

June 13, 2023

computational neuroscience postdoc position

by Neymotin, Samuel (NKI)

A postdoctoral scientist position is available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded grants. Our NIH-funded project investigates the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI (Noelle O’Connell, Charlie Schroeder) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies testable in vivo. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) NKI is an equal opportunity employer. The position requires presence at NKI(Orangeburg, New York), with part-time telecommuting possible. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

June 12, 2023

Computational neuroscience, AI and SI: deadlines June 26 and July 26 - National PhD in AI

by Matteo Ferrante

*Call:* Are you fascinated by the intriguing intersection of Computational Neuroscience and Artificial Intelligence? Do you find yourself captivated by groundbreaking concepts such as neurotech, neuromorphic computing, and many-person neuroscience, among others? Are you intrigued by the vast potential of artificial intelligence in the realm of biomedical data modeling? If yes, we invite you to consider applying for one of the three exciting PhD positions available at the University of Rome Tor Vergata. In our enriching research and training program, you can delve into a wide spectrum of innovative domains ranging from Neurotech to Biomedical imaging and simulation, novel drug delivery systems and neuromodulation technology, physiological systems modeling, the future of AI-based radiation oncology planning, and HCP, among others. The possibilities for exploration, growth, and discovery are limitless, with opportunities to engage in both computational and experimental work tailored to align with your unique profile and interests. *Activities:* We are looking for enthusiastic, result-oriented graduates or postgraduates who are eager to immerse themselves in these pioneering research fields. Join our interdisciplinary team (https://fismed.uniroma2.it/) to contribute to a dynamic environment that thrives on collaboration, teamwork, and intellectual curiosity. As part of our team, you will engage in a range of activities from grant-writing and drafting of scientific publications to occasionally teaching at the university level. Moreover, you'll get the opportunity to collaborate at national and international levels and tackle challenging research problems that span across the physical, mathematical, computational, basic and clinical sciences. We are proud recipients of funding from renowned organizations such as the European Commission (Horizon 2020 and Horizon Europe, EIC), the Italian National Ministry of Health, The Italian Association for Cancer research (AIRC), the US Department of Defense (DOD), and the National Institutes of Health (NIH), as well as private institutions and foundations. *Profile:* You hold a Master's degree in Computational Neuroscience, Artificial Intelligence, Applied Physics, Computer Science, Computer/Electrical Engineering, or a related discipline. You have a robust understanding of dynamical systems theory, computational neuroscience and/or AI. Desirable but not necessary: experience with neuroscience data, control systems, neural differential equations, and other related fields. You have a strong background in mathematics and Python programming skills, and are familiar with advanced machine learning libraries. You are passionate about research and exploration in the field. *Application:* To apply, send a brief motivation letter and a Curriculum Vitae to Prof. Nicola Toschi (toschi(a)med.uniroma2.it) and cc Dr. Andrea Duggento (andrea.duggento(a)uniroma2.eu) More information about our PhD programme at: https://www.phd-ai.it/en/359-2/ We look forward to your expression of interest and potential contribution to the exciting world of Computational Neuroscience and AI! -- Prof. Nicola Toschi https://scholar.google.com/citations?hl=en&user=kyI6AJ8AAAAJ&view_op=list_w… Professor of Medical Physics Medical Physics Section - Department of Biomedicine and Prevention University of Rome "Tor Vergata" Via Montpellier 1 - 00133 Rome (IT) toschi(a)med.uniroma2.it Research Staff, Associate Investigator A.A. Martinos Center for Biomedical Imaging - Harvard Medical School/MGH 149 13th street, 02129 Boston (MA), USA nicola(a)nmr.mgh.harvard.edu

June 12, 2023

International SiNAPSA Neuroscience Conference (SNC'23) - September 28th to 30th 2023

by Nina Omejc

** *Dear colleagues,* * We kindly invite you to participate at the 10th biennial international SiNAPSA Neuroscience Conference (SNC'23), which will take place from September 28th to 30thin the heart of Ljubljana, Slovenia. The conference will cover a wide range of topics in the field of neuroscience, medicine, psychology, and related disciplines. It will feature the latest research contributions that enhance our understanding of brain function and the treatment of neurological disorders. Do not miss the opportunity to engage in knowledge exchange, gain novel insights, and establish connections with esteemed colleagues and leading experts. SNC'23 is supported by the International Brain Research Organization (IBRO), the International Centre for Genetic Engineering and Biotechnology (ICGEB), and the neuroscience societies of neighbouring countries. Distinguished plenary speakers such as Prof. Martin Turner, Prof. Apkar Vania Apkarian, Prof. Jasna Križ, Prof. Daniele Perani and Prof. Aleksej Verkhratsky will enrich the conference program. Furthermore, several events, including the Ljubljana Clinical Neurophysiology Symposium 2023 and the Educational Workshop on Pain <http://www.sinapsa.org/SNC23/workshop/programme>will accompany the main programme <https://www.sinapsa.org/snc23/media/schedule/Schedule-SNC23.pdf>. Junior scientists also have the opportunity to apply for a travel grant <http://www.sinapsa.org/SNC23/call-for-travel-grants>. For further information regarding submissions of poster presentation abstracts, registration, and the programme, please visit our website at https://www.sinapsa.org/SNC23 <https://www.sinapsa.org/SNC23>or contact us at snc23(a)sinapsa.org <mailto:snc23@sinapsa.org>. Important dates: * Abstract submission deadline - June 17th * Deadline for travel grant application - June 17th * Early registration deadline - August 24th Kind regards, Nina Omejc, on behalf of the SNC’23 Programme and Organising Committees *

June 9, 2023

[Meetings] Live Demo at IEEE Sensors 2023 conference

by Calogero Maria Oddo

Dear Colleagues, hereafter, please find a reminder about the possibility to submit Live Demo proposals at the IEEE Sensors 2023 conference. This is an opportunity to demonstrate novel sensing technologies resulting, as an example, from research projects. The IEEE Sensors 2023 conference will be held in Vienna from October 29 to November 1, 2023: https://2023.ieee-sensorsconference.org/ As always, it will be a major discussion forum for new ideas, technologies and applications concerning the topic of sensors. In addition to the presentation of oral and poster papers, an interactive session is available to present prototypes and demonstrators of new ideas: https://2023.ieee-sensorsconference.org/live-demos The operational deadlines are as follows: Paper/Demo proposal: June 18, 2023 Notification of acceptance: August 9, 2023 Final submission: August 30, 2023 Best regards, Calogero Oddo -- Calogero M. Oddo, PhD Associate Professor of Bioengineering https://www.santannapisa.it/en/calogero-maria-oddo https://scholar.google.com/citations?user=y1rffgkAAAAJ&hl=en Head of the Neuro-Robotic Touch Laboratory The BioRobotics Institute and Department of Excellence in Robotics & AI Interdisciplinary Research Center Health Science Sant'Anna School of Advanced Studies, Pisa, Italy https://www.santannapisa.it/en/education/phd-biorobotics http://www.santannapisa.it/en/neuro-robotic-touch-laboratory email: calogero.oddo(a)santannapisa.it<mailto:calogero.oddo@santannapisa.it> While it suits me to email now, I do not expect a reply outside of your own working hours.

June 9, 2023

PhD position (deadline June 19th): Learning and Control with Spiking Neural Networks at the Donders Centre for Cognition

by Keemink, S.W. (Sander)

Are you interested in how our brain is able to so precisely control the body, and adapt to new situations? Would you like to dive deep into current theories for how this works, and develop new ones? Are you either highly interested in modelling the brain, and/or in applying the resulting theories to practical problems? Then this is a PhD position you should apply for. To successfully control the body our brain needs to generate stable states (i.e. keep a hand somewhere), but also full dynamic behaviours (i.e. a full arm swing). The brain does this highly efficiently through networks of spiking neurons - the efficiency and success of which is yet to be reproduced in AI. Crucially, neural activity during dynamic tasks is often observed to lie on lower-dimensional manifolds. Why this is useful, and how networks generate and adapt such activity manifolds, is the subject of many theoretical models but still very much an open question. In this NWO-funded 4-year PhD project, using tools from both AI and neuroscience, you will develop neural networks which produce such low-dimensional manifolds and then use these to learn efficient and effective control. This project is expected to yield more capable AI systems and further our understanding of brain computations. Dependent on your background and interests, the project can either go deep into applying the resulting models to AI control problems, or reproduce and predict neuroscience experiments. You will be supervised by Dr. Sander Keemink and Prof. Marcel van Gerven, and advised by Dr. Nasir Ahmad. The project is hosted at the AI department of the Donders institute, where there are additional opportunities to collaborate with experts in neuroscience, robotics, AI, and other related disciplines. Profile: * You have obtained a Master's degree in Computational Neuroscience, Artificial Intelligence, Applied Physics, Computer Science, Computer/Electrical Engineering, or a related discipline. * You have a strong understanding of dynamical systems theory, and computational neuroscience and/or AI (knowledge of spiking neural networks is a big plus). * Desirable but not essential: experience with neuroscience data, control systems, and/or neural differential equations. * You have an excellent background in mathematics and Python programming skills, and you are familiar with advanced machine learning libraries. * You have a passion for research. Application: For more details, and application form, see here: https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-learning-an… -- Sander Keemink Assistant professor (https://www.ru.nl/en/people/keemink-s) Department of Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour Radboud University, Nijmegen, The Netherlands

June 9, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

*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/> Please submit your contribution until *September 02, 2023*. *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 *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *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 <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 *SUBMISSION* https://complexnetworks.org/submission/ *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) Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

June 9, 2023

Open call for postdoctoral applications in areas of Artificial Intelligence, Machine Learning and Cognitive Robotics

by Ajaz Bhat

Apologies for any cross-posting! Dear all We at the Universiti Brunei Darussalam (UBD) are inviting open applications for postdoctoral positions in various areas including Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics. As a postdoctoral fellow, you may work on a research theme of your own or join one of my existing research projects. You will also be able to apply for joint grant proposals within UBD. If you are interested in areas of Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics, please email me your interests and CV at ajaz.bhat [AT] ubd.edu.bn. For more details on the postdoctoral scheme and benefits, please visit https://research.ubd.edu.bn/?page_id=3797 Ajaz A. Bhat, PhD Programme Leader for AI and Robotics, Applied AI and Data Science School of Digital Science (SDS), Universiti Brunei Darussalam (UBD) Web: https://expert.ubd.edu.bn/ajaz.bhat

June 9, 2023

Three studentships in biomimetic embodied AI

by Thomas Nowotny

Dear Comp-Neuro community, We are offering 3 PhD studentships in our unique be.AI doctoral training centre in biomimetic embodied AI (http://www.sussex.ac.uk/ccnr/be_ai) at the University of Sussex in Brighton. Apply online: https://www.sussex.ac.uk/study/phd/apply Full details at https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1403-Leverhulm…. Kind regards, Thomas -- Prof. Thomas Nowotny Head of AI Research Group CCNR, Sussex Neuroscience Phone: +44-1273-678593 Engineering and Informatics, Fax: +44-1273-877873 University of Sussex, Falmer, Brighton BN1 9QJ sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny> <../../owa/redir.aspx?C=9e11bb0e527242938402b42d9b5498ea&URL=http%3a%2f%2fsussex.ac.uk%2finformatics%2ftnowotny> I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic. Small acts of collaboration, kindness and integrity can make a big difference. www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>

June 8, 2023

Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15

by Rubchinsky, Leonid L

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

June 8, 2023

Modellers Workshop for the Brain Dynamics Toolbox (Final Call)

by Stewart Heitmann

Final call for the Modeller’s Workshop for the Brain Dynamics Toolbox. This is an online course for researchers, students and instructors who wish to build custom dynamical models using the Brain Dynamics Toolbox. The course has a practical focus on programming bespoke models and visualising the dynamics. Topics include 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.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close Sun 11th Jun 2023.

June 8, 2023

Professorship in AI at Bristol University

by Conor Houghton

The Faculty of Engineering in Bristol University is looking to appoint a professor in AI; this opening isn't specific to computational neuroscience but candidates from the AI / ML part of computational neuroscience or cognitive science would certainly be considered, the Neural Computation group in Bristol are involved in the search and will be part of any discussion about who to appoint. Neural Computation is an important part of the machine learning community in Bristol, we are involve in teaching AI and are recognized as contributing a lot to the research profile of the university in this area. We are very keen that strong candidates for our community consider applying! https://www.bristol.ac.uk/jobs/find/details/?jobId=313360&jobTitle=Professo… The deadline is 25 June. All the best Con ______________________________ Conor Houghton Computer Science, Bristol University. Merchant Vulturers Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him [cid:a899a289-67ea-4622-b7b1-ad158d51af85]

June 7, 2023

CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023

by Hocine Cherifi

*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/> You are cordially invited to submit your contribution until *September 02, 2023*. *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 *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *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 <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 *SUBMISSION* https://complexnetworks.org/submission/ *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)

June 7, 2023

Autumn School at Ulster University

by O'Donnell, Cian

The Intelligent Systems Research Centre (ISRC) from Ulster University, Derry~Londonderry campus is delighted to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again for the third time this year. The school will be organised in a hybrid mode, providing facilities for both in-person and online attendees. Supported by the IEEE Computational Intelligence Society, IEEE Brain and other sponsors, this year's Autumn School will run from the 25th October to 31st October, inclusively. The topics covered in the seven-day ISRC-CN3 Autumn School include: * mathematical foundations in neuroscience * computational modelling of neural-glial systems, neuromodulators and cognition * neural data science * neurotechnology * neuromorphic computing and self-repaired intelligent machines * spiking neural networks and applications * cognitive robotics * ethics in neurotechnology and AI * entrepreneurship in neurotechnology and AI This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. 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, and bursaries may be available. Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this seven-day School, which will consist of lectures, labs and group projects. Attendees will have the opportunity to present their group work on the final day, and awards will be given to the top presenters. Partial travel bursary will be provided to selected attendees. For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Application for the Autumn School is now opened for both in-person and online attendees. The deadline for in-person application is 20th July 2023 and online application is 15th September. For further information, queries, or sponsorship (and its benefits), please do not hesitate to contact Dr Saugat Bhattacharyya (s.bhattacharyya(a)ulster.ac.uk<mailto:s.bhattacharyya@ulster.ac.uk>). 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

June 6, 2023

Invitation for Hands-on Tutorial on PyNN at CNS*2023

by CHITARANJAN MAHAPATRA

*Dear all,* *We are delighted to announce that a half-day tutorial titled "Hands-on Tutorial on PyNN: A Simulator-Independent Language for Building Neuronal Network Models" will be held at the 32nd Annual Computational Neuroscience Meeting (CNS*2023 conference) in Leipzig, Germany. We invite all registered participants to join the tutorial, which will take place on the first day of the meeting, 15 July 2023, just before the main event.* *Computational neuroscientists have developed a diversity of software platforms for simulating neural network models at different scales. However, each simulator has its own programming or configuration language, leading to considerable difficulty in porting models from one simulator to another. A common programming interface to multiple simulators would help to reduce or eliminate the problems of simulator diversity while retaining the benefits. PyNN is such an interface, making it possible to write a simulation script once, using the Python programming language, and run it without modification on any supported simulator (currently including NEURON, NEST, Brian, and the SpiNNaker and BrainScaleS neuromorphic hardware systems).* *Prerequisites:* *Basic familiarity with the Python programming language* *Useful links:* *Main website: https://ebrains.eu/service/pynn/ <https://ebrains.eu/service/pynn/>* *Documentation: http://neuralensemble.org/docs/PyNN/ <http://neuralensemble.org/docs/PyNN/>* *Download: https://pypi.org/project/PyNN/ <https://pypi.org/project/PyNN/>* *Organizers:* *Chitaranjan Mahapatra (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Shailesh Appukuttan (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Andrew Davison (Neuroinformatics Group, Paris-Saclay Institute of Neuroscience, CNRS, Paris-Saclay University, France)* *Speakers/Instructors:* *Chitaranjan Mahapatra, Speaker (Paris-Saclay Institute of Neuroscience, France)* *Nitin Anisetty, Instructor (Indian Institute of Technology Bombay, India)* *We also invite all tutorial participants to create a free EBRAINS account using an institutional email address. By doing so, you will gain complete access to EBRAINS tools and services.* *Best regards,* *Chitraranjan* ------------------------------------------------------------------------------------------------- Chitaranjan Mohapatra

June 4, 2023

NEST Conference 2023 - registration deadline: 5 June 2023

by Hans Ekkehard Plesser

Dear all, This year's NEST Conference will again take place as a virtual conference on Thursday/Friday 15/16 June 2023. You can still register until Monday next week, June 5. More information on the program and how to register can be found on the conference website: https://nest-simulator.org/conference We are looking forward to seeing you all in June! Hans Ekkehard Plesser and the conference organizing committee -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

June 2, 2023

Spanish Agency of Research (AEI): ATRAE: Seeking Leading Researchers 1 Million Euros/per position

by Serafim Rodrigues

Dear all, The Spanish Agency of Research (AEI) has recently announced a competitive call for the attraction of senior researchers to Spanish institutions. Up to 25 positions. 1M€ per position. Gross salary 80.000 – 90.000 per year, and permanent position after the grant period 3 for 4 years. https://twitter.com/AgEInves/status/1654139691644403723?s=20 https://www.aei.gob.es/convocatorias/buscador-convocatorias/ayudas-incentiv… Conditions: PhD before Jan 1st, 2016 and have been professionally associated with foreign research organisations for at least 5 years in the period between Jan 1st 2016 and the starting date for the submission of applications. The Basque Center for Applied Mathematics (BCAM, Basque Country) would like to take this opportunity to invite leading researchers (for example ERC level candidates) to apply to BCAM. Interested researchers please contact us. Sincerely Serafim -- Serafim Rodrigues Ikerbasque Research Professor Mathematical, Computational and Experimental Neuroscience (MCEN) Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues | www.ikerbasque.net/serafim-rodrigues Old Mathematicians never die They just "tend to infinity" -Anonymous *(**matematika mugaz bestalde)*

June 2, 2023