January 2025 - Comp-neuro - lists.cnsorg.org

Join Us at Pre-COSYNE Brainhack 2025 in Montreal!
by Ryan Ly 03 Jan '25

03 Jan '25

Dear Community, We are excited to announce the Pre-COSYNE Brainhack 2025, a hackathon taking place on March 25-26 in Montreal, Canada, just before the COSYNE conference! This event brings together open science enthusiasts to collaborate on projects in computational and systems neuroscience. This year’s suggested theme is Data Pipelines & Reproducibility, but participants are welcome to explore any topic. Key Details: 📅 Dates: March 25-26, 2025 📍 Location: Mila, Montreal, Canada 👥 Participants: Limited to 50 📑 Application Deadline: January 10 Why Attend? - Collaborate with like-minded researchers. - Explore and create open-source tools. - Network across institutions and backgrounds. Learn more and apply here: https://pre-cosyne-brainhack.github.io/hackathon2025/posts/about/ Questions? Please reach out to us directly. We hope to see you in Montreal! Warm regards, The Pre-COSYNE Brainhack Organizers

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Announcing Okinawa/OIST Computational Neuroscience Course 2025 (OCNC 2025)
by Erik De Schutter 02 Jan '25

02 Jan '25

The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 23th through July 10th, 2025 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://www.oist.jp/conference/ocnc-2025) only; January 1 - January 31, 2025. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 2025 OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. For the first time we charge a modest tuition fee of 60,000JPY. The sponsor will provide lodging and meals during the course. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Lecturers: Erik De Schutter (OIST) Kenji Doya (OIST) Tomoki Fukai (OIST) Yukiko Goda (OIST) Bernd Kuhn (OIST) Alexander Mathis (EPFL, Switzerland) Mackenzie Mathis (EPFL, Switzerland) Lucy Palmer (University of Melbourne, Australia) Gerald Pao (OIST) Padmini Rangamani (University of California, San Diego, USA) Sam Reiter (OIST) Yu Takagi (National Institute of Informatics) Kazumasa Tanaka (OIST) Tim Vogels (IST Austria) Jeff Wickens (OIST)

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PhD and Postdoc positions [Neuro-AI lab @ Technion] - Stefano Recanatesi
by Stefano Recanatesi 02 Jan '25

02 Jan '25

*PhD and PostDoc Positions Available: Neuro-AI Lab at Technion* *About Us: *The Technion Neuro-AI Lab is at the forefront of research into the computational mechanisms of biological and artificial neural networks. Our diverse projects range from developing Brain-Computer Interfaces (BCIs) for both rodents and humans to creating theoretical and computational models of neural activity, and training cutting-edge machine-learning models, including large language models (LLMs). *University Environment: *Join us at Technion, where we offer a world-class research environment equipped with state-of-the-art facilities and interdisciplinary training programs. The lab is part of the Technion AI community (ranked 1st <https://csrankings.org/#/fromyear/2020/toyear/2024/index?ai&vision&mlmining…> in Europe) and the (nobel prize winning <https://www.technion.ac.il/en/2024/10/nobel-prize-winners-mark-20th-anniver…>) Medical faculty. There is a vibrant international community and the Lab strongly encourages international mobility, supporting students in undertaking internships and research collaborations abroad (especially if the political situation requires it). *Lab Homepage:* Technion Neuro-AI Lab <https://sites.google.com/view/technionneuroailab/home> *Project Descriptions & Candidate Profiles:* We are seeking candidates with computational/theoretical or experimental expertise in the following areas: - *Computational Projects:* - Focus: Machine learning, artificial intelligence, and training of various network algorithms. - Relevant Backgrounds: Computer Science, Electrical Engineering, Data Science, etc. - *Theoretical Projects:* - Focus: Developing theoretical and computational predictions for neural experiments. - Relevant Backgrounds: Physics, Mathematics, Applied Mathematics, Computer Science, etc. - *Experimental Collaborations:* - Focus: Developing experimental setups with advanced computational tools for BCIs in collaboration with partner labs. - Relevant Backgrounds: Neuroscience, Biology, Medicine, etc., with strong computational skills. *What We Offer:* - A stimulating and supportive research environment. - Access to state-of-the-art equipment and infrastructure. - Opportunities for interdisciplinary scientific development. - An international and collaborative team atmosphere. - Comprehensive training in a wide range of scientific skills. - Opportunities to present your research at international conferences and workshops. - Extensive support for career development beyond your Ph.D. *Application Deadline: *We encourage candidates to apply as soon as possible. Our goal is to fill positions by Spring 2025. *How to Apply:* Please send your CV and full academic transcript directly to Prof. Stefano Recanatesi (stefano(a)technion.ac.il)

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