- Comp-neuro - lists.cnsorg.org

PhD/postdoc positions in ML for neuroscience in Göttingen, Germany
by Ecker, Alexander Aug. 26, 2024

Aug. 26, 2024

We have several open positions for postdocs or PhD students in the Neural Data Science Lab (https://eckerlab.org) at the Campus Institute Data Science (University of Göttingen) and the Max Planck Institute for Dynamics and Self-Organization in Göttingen, Germany. Our lab is part of a large collaborative network with partners in the US and Germany. The projects are funded by the European Research Council through an ERC Starting Grant and in tight collaboration with Andreas Tolias' lab at Stanford. Regular visits at Stanford are possible and encouraged. If you want to work with us on exciting projects developing machine learning methods for neuroscience, please check out the short project descriptions below and apply now. Details can also be found on our website: https://eckerlab.org/applications/ Application documents including a short motivation letter, CV, transcript of records (PhD students) and the contact details of two references should be sent to Alexander Ecker: ecker(a)cs.uni-goettingen.de We value diversity and equality. We therefore particularly encourage international and female applicants as well as applications from underrepresented groups or candidates with disabilities. ============ *A foundation model of the brain* The Enigma Project @stanford is a large-scale, interdisciplinary initiative dedicated to building a foundation model of the brain at single-neuron resolution. Combining large-scale electrophysiology and naturalistic experiments with modern, multi-modal deep learning, Enigma aims to uncover core principles of neural representation and intelligence – starting with our richest sense: the visual system. Our lab in Göttingen has pioneered large-scale predictive models of the visual system and will continue to develop the next generation of predictive models with a focus on using them to gain insights into brain function. Role: Postdoc (preferred) or PhD student Your profile: Background in systems / computational neuroscience or machine learning (deep learning in particular). Experience with both is a strong plus, but not a requirement. ============ *Data-driven multi-modal discovery of cell types in the neocortex* Understanding the relationship between structure and function of cortical neurons and circuits is one of the key challenges in neuroscience. In this project, we develop deep learning methods for data-driven identification of excitatory cell types in the visual cortex and to understand how a neuron’s morphology relates to its function. We will harness a unique large-scale functional anatomy dataset: a combination of electron-microscopy reconstructions at sub-micrometer resolution with two-photon functional imaging of nearly all excitatory neurons in one cubic millimeter of the mouse visual cortex. Role: Postdoc (preferred) or PhD student Your profile: Background in systems / computational neuroscience or machine learning (deep learning in particular). Experience with both is a strong plus, but not a requirement. -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Max Planck Inst. for Dynamics and Self-Organization Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

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Postdoctoral position for the development of large-scale electrophysiological data management infrastructure
by Paul Cisek Aug. 26, 2024

Aug. 26, 2024

Postdoctoral position for the development of large-scale electrophysiological data management infrastructure 2-year position: $62,500/year plus benefits (~ total $75,000/year) This salary is guaranteed by a partnership between the Department of Neurosciences (https://neurosciences.umontreal.ca<https://neurosciences.umontreal.ca/>), the Faculty of Medicine of the Université de Montréal (https://medecine.umontreal.ca<https://medecine.umontreal.ca/>) and IVADO (https://ivado.ca<https://ivado.ca/>), an interdisciplinary, cross-sectoral research, training and knowledge mobilization consortium whose mission is to develop and promote a robust, reasoning and responsible AI. Requirements: The applicant should hold a PhD (e.g. electrical or biomedical engineering, neurosciences, or complementary field) and have research expertise in system neuroscience, programming, and data processing and analyses. Major advances in electrophysiological recording technologies have led to an explosion in the size of datasets, as well as new challenges in processing and managing them. In particular, the advent of wireless large-scale neurophysiology and deep-learning-based pose estimation enables us to study new scientific questions on complex, unconstrained behaviors. As the pace at which we acquire data has accelerated exponentially in recent years, there is an urgent need for efficient automated pipelines to process raw data from labs into analysis-ready datasets. To address these challenges, several research groups at the department of neuroscience (P. Cisek, N. Dancause, B. Ebitz, A. Green, M. Perich) aim to develop and deploy automated approaches to process signals recorded in our labs into analysis-ready datasets; 2) create a unified data storage and management framework to facilitate data sharing and collaborative, neuro-AI, analyses. These goals are closely aligned with those of the Union Neuroscience et Intelligence artificielle Quebec (UNIQUE; https://www.unique.quebec<https://www.unique.quebec/>) center, the strategic research cluster of the Fonds de Recherche du Quebec - Nature et Technologie (FRQ-NT), IVADO and the Quebec Artificial Intelligence Institute (Mila; https://mila.quebec<https://mila.quebec/>). The main objective of the present position is to develop and deploy automated approaches to process signals from the labs into analysis-ready datasets. The postdoctoral trainee will design and develop automated processing pipelines, from raw data collected in the labs to analysis-ready state, for each type of data collected. The pipeline must adapt and enhance our current tools implemented in Matlab, R or Python. This includes incorporating automated spike sorting tools such as MountainSort, KiloSort, and Full Binary Pursuit, handling local field potential signals with software like Chronux and FieldTrip, as well as creating user interfaces. The postdoctoral trainee will be responsible for creating Standard Operating Procedures and lead user training. This position is a great opportunity for a postdoctoral trainee seeking training at the intersection of academia and industry. The candidate should have adequate training in disciplines such as engineering, data sciences, machine-learning or neurosciences. The postdoctoral trainee will advance cutting-edge platforms for large-scale behavioral and neurophysiology experiments shared by several research groups on campus at the Université de Montréal. They will participate in the advancement of open source in neuroscience. The position will include working with unique electrophysiological datasets that from ongoing scientific projects of one or more of the participating research labs. These data will provide opportunities to develop novel or high-dimensional analytical tools that could lead to authorship on additional publications. For application: Please send a short cover letter, resume and the names of 3 references to: Numa Dancause, BSc(PT), PhD Professor, Associate Director Département de Neurosciences Université de Montréal Email: marlene.boutet(a)umontreal.ca<mailto:marlene.boutet@umontreal.ca> Paul Cisek, PhD Département de neurosciences Université de Montréal Physical: 2960 chemin de la tour, local 4117 Montréal, QC H3T 1J4 CANADA Mailing: CP 6128 Succursale centre-ville, Montréal, QC H3C 3J7 CANADA e-mail: paul.cisek(a)umontreal.ca<mailto:paul.cisek@umontreal.ca> Web: www.cisek.org/pavel<http://www.cisek.org/pavel>

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TEDx Talk on the Ethics of Artificial Intelligence
by steven gouveia Aug. 25, 2024

Aug. 25, 2024

Dear colleagues, The TEDx Talk "Art, sex, and medicine: 3 ethical dilemmas for AI" is now available at the official channel of TEDx! You can check it here: https://www.youtube.com/watch?v=78-Zks_NcKE<https://www.youtube.com/watch?v=78-Zks_NcKE&fbclid=IwZXh0bgNhZW0CMTAAAR0YuL…>. You can use it to introduce some ethical reflections on Artificial Intelligence with your students and colleagues. Sincerely, Steven S. Gouveia Research Fellow at Mind, Language & Action Group (Uni. Porto, PT) https://trustaimedicine.weebly.com/ Honorary Professor, Faculty of Medicine (Uni. Andrés Bello, Chile) https://stevensgouveia.weebly.com<https://stevensgouveia.weebly.com/> (Books, papers, talks, etc) 1. *Novo livro: (PT) Odisseia da Mente (w/ Penrose, Chalmers, Seth, etc)* 2. *New Book: (ENG) Predictive Minds (ed.)*

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Modellers Workshop for the Brain Dynamics Workshop (Final Call)
by Stewart Heitmann Aug. 25, 2024

Aug. 25, 2024

Final call for the Modellers Workshop for the Brain Dynamics Toolbox. This is an online course is for researchers who wish to build custom dynamical models using the Brain Dynamics Toolbox software. The course focuses on practical programming techniques for the major classes of differential equations (ordinary, partial, delay, stochastic) in computational neuroscience. Example code is provided in all cases. Upon completion, students will be able to transform differential equations into working simulations. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close 31st Aug 2024. 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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WashU CTCN Postdoc Fellows
by Goodhill, Geoffrey Aug. 24, 2024

Aug. 24, 2024

The Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretical and experimental labs at WashU. Deadline for applications is October 31st. The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience. Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included. In addition, WashU offers excellent benefits and comprehensive access to career development, professional and personal support. Applications from women and under-represented minorities are particularly welcome. The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living. For more details on this prestigious Fellowship opportunity, including how to apply, please see https://ctcn.wustl.edu/postdoc-fellows Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 660 S. Euclid Avenue St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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Applications open: WIN Global Scholars (WINGS) Programme @ Oxford
by Rezvan Farahibozorg Aug. 23, 2024

Aug. 23, 2024

The WIN Global Scholars (WINGS) Programme is open for 2024-25 applications. We are looking for early career researchers from the Global South to join this remote, one-year programme at the Wellcome Centre for Integrative Neuroimaging, Oxford University. This is a transformative opportunity: you will be affiliated with WIN, receive intensive online training on MRI physics & analysis methods (including FSL), will have the opportunity to interact with research groups across WIN, remotely attend seminars and events, and showcase your work at our annual symposium. 🗓️ Deadline: 05 September 2024, 5pm GMT 🔗 Visit for more information and application: https://www.win.ox.ac.uk/about/training/wings

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Postdoc position in theoretical neuroscience, Aljadeff lab at UCSD
by Johnatan (Yonatan) Aljadeff Aug. 21, 2024

Aug. 21, 2024

Johnatan Aljadeff is recruiting a motivated postdoc to join his lab at UCSD. Aljadeff is interested in a broad range of problems in theoretical and computational neuroscience. Examples of potential research directions include: synaptic plasticity and learning of spatial representations, and neural control of collective behavior. Our lab's publications and additional information can be found at aljadeff.ucsd.edu The ideal candidate will have a quantitative background (math / physics / computational neuroscience / computer science / engineering / related field). Prior experience working on problems in neuroscience is welcome but not required. The postdoc will have an opportunity to design their project, collaborate with experimentalists, and join UCSD's vibrant computational and systems neuroscience community. Interested candidates should submit a brief statement of research interests and CV (including names of three references) to aljadeff(a)ucsd.edu. Informal inquiries about details of the position and potential projects are encouraged.

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Participate in our Civic Science Attitudes and Engagement Survey!
by Courtney Dean Aug. 21, 2024

Aug. 21, 2024

Hello CN Community! We're excited to share that our Civic Science Attitudes and Engagement Survey is now open! This survey explores how scientists engage with the public and how it influences their careers and identities. Your responses will help shape future civic science programs, such as civic engagement and science communication training, at Neuromatch and beyond. *Who Can Participate:* All aspiring, current, and former scientists at any career stage, including students, from around the world. Please feel free to share this with your colleagues too! *Gift Card Opportunity Drawing:* Complete the survey by September 1st, 2024, at 11:59 PM (last time zone on Earth) to enter an opportunity drawing for a $150 USD gift card. Simply follow the instructions in the survey to participate. (One entry per person.) *Take the Survey:* https://bit.ly/CivicScienceSurvey Your input is valuable and greatly appreciated! Best, Leanna Kalinowski leanna.kalinowski(a)neuromatch.io Civic Science Fellow at Neuromatch -- *Courtney Dean (she, her) * Program Director Schedule a meeting with me! <https://calendly.com/courtney-s-dean> c. 720.371.6559

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NIH Workshop: Insights Into Cognitive And Neural Function Through Eye Tracking
by Francisco Pereira Aug. 21, 2024

Aug. 21, 2024

Topic: Upcoming NIH Workshop: Insights Into Cognitive And Neural Function Through Eye Tracking The Center for Multimodal Neuroimaging (CMN; cmn.nimh.nih.gov) and the fMRI Core Facility (FMRIF; fmrif.nimh.nih.gov) are proud to announce our upcoming workshop September 4-5 on “Insights Into Cognitive And Neural Function Through Eye Tracking”. The workshop brings together ten experts (8 extramural, 2 intramural) linking together eye tracking and cognition. An introduction to the workshop will be provided by Dr. Chris Baker. On Wednesday, September 4th, speakers will present their research into theory and methods from 9am – 5pm, full schedule available soon. On September 5th, the speakers will take part in a roundtable specifically tailored to NIH trainees from 9am – 12pm (noon). This is an ideal opportunity for trainees to connect with experts and get advice on training and career development. The workshop will be held on the NIH Bethesda campus in Building 40 and simultaneously streamed on zoom. Recordings will be available later on NIH VideoCast and YouTube. More information can be found on our website: https://cmn.nimh.nih.gov/cmnworkshop2024

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Invitation to Submit Your Contribution to COMPLEX NETWORKS 2024 - Deadline Approaching (September 3, 2024)
by Hocine Cherifi Aug. 21, 2024

Aug. 21, 2024

We invite you to submit your research contributions to the *13th International Conference on Complex Networks & Their Applications (COMPLEX NETWORKS 2024)*, held in Istanbul, Turkey, from December 10-12, 2024. We welcome submissions in the form of full papers (up to 12 pages) and extended abstracts (up to 4 pages) on a wide range of topics, including but not limited to: - Models of Complex Networks - Machine Learning with Graphs - Dynamics and Evolution Patterns of Complex Networks - Social Reputation, Influence, and Trust - Network Neuroscience - Cognitive Network Science - And many more (please refer to the full list of topics here <https://complexnetworks.org/>). The deadline for submission is *September 3, 2024*. Accepted papers will be included in the conference proceedings published by Springer, while extended abstracts will be featured in the Book of Abstracts with an ISBN. Additionally, selected extended versions of accepted contributions will be invited for publication in special issues of renowned journals, including PLOS Complex Systems, Applied Network Science, and more. Please submit your contributions via the conference submission system: COMPLEX NETWORKS 2024 Submission <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/>. For more information, visit our website at https://complexnetworks.org We look forward to your participation and welcoming you to Istanbul for this enriching event. Best regards, Hocine Cherifi Join us at COMPLEX NETWORKS 2024 <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 Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor 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/>

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