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WWNeuRise online seminars Sept-Oct 2022
by William Podlaski 03 Sep '22

03 Sep '22

WorldWideNeuRise will host several online talks throughout Sept-Oct 2022 on various topics in systems neuroscience from the following early career researchers. The first session will be on Wednesday, 7 September, 5pm CET, featuring: Pantelis Vafeidis (Rangel Lab, Caltech) - "Learning static and dynamic mappings with local self-supervised plasticity" Anna Kutschireiter (Spiden AG) - "The secret Bayesian life of ring attractors" Followed by two more sessions (talk titles TBA): Wednesday, 21 September, 5pm CET Kevin Berlemont (Wang Lab, NYU) Gabriel Stine (Shadlen Lab, Columbia University) Wednesday, 12 October, 5pm CET William de Cothi (Barry Lab, UCL) Brianna Vandrey (Nolan Lab, University of Edinburgh) For more information, please visit our website (https://neurise.github.io/) find us on WorldWideNeuro (https://www.world-wide.org/Neuro/WWNeuRise/) or follow us on Twitter (https://twitter.com/WWNeuRise) We are always searching for PhD students and postdocs to give talks in our upcoming seminars on any topic in systems neuroscience. On our website ( https://neurise.github.io/) you can find an application form to directly apply, as well as a recommendation form, where you can suggest individuals from your lab, institute, or otherwise who you think might have an interesting story to tell! We are looking forward to seeing you at our upcoming seminars! The organising committee, Alon Baram (Behrens Lab, University of Oxford) Wesley Clawson (Levin Lab, Tufts University) Lucie Descamps (Kentros Lab, Norwegian University of Science and Technology) Gily Ginosar (Ulanovsky Lab, Weizmann Institute) Loreen Hertäg (Clopath Lab, Imperial College London) Joram Keijser (Sprekeler Lab, TU Berlin) Bill Podlaski (Machens Lab, Champalimaud Research)

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Academia and the World Beyond: Navigating Life after a PhD
by Christopher Madan 01 Sep '22

01 Sep '22

Hi everyone, Many PhD students and postdocs are unsure of what their options are, apart from academia. Even within academia, the responsibilities beyond research often haven't been sufficiently discussed. A book I have been working on for a few years has just come out, where I've interviewed 22 individuals about their post-PhD careers, both in academic and non-academic positions. All of them discuss their career journey, day-to-day life in their current position, and advice for current PhD students. You can find out more about the book on my website or directly from the publisher. https://engra.me/books/academiabeyond https://link.springer.com/book/10.1007/978-3-030-82606-2 Best, ~ Chris --- Christopher R Madan, PhD [he/him] | http://www.cmadan.com<http://www.cmadan.com/>, http://engra.me<http://engra.me/> Assistant Professor @ University of Nottingham Author of "An Introduction to MATLAB for Behavioral Researchers" | http://engra.me/books/matlab/ and "Academia and the World Beyond: Navigating Life after a PhD" | http://engra.me/books/academiabeyond This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Postdoc positions in nanoscale modeling of astrocytes, neurons or synapses
by Erik De Schutter 01 Sep '22

01 Sep '22

The Computational Neuroscience unit at the Okinawa Institute of Science and Technology (https://www.oist.jp) Japan has been spearheading nanoscale stochastic modeling of astrocytes, neurons and synapses (https://groups.oist.jp/cnu) We have two postdoctoral positions open and Japan is finally issuing visa again. The selected candidates will build on previous work in modeling of cerebellar or hippocampal astrocytes, neurons and synapses using our STEPS software (http://steps.sourceforge.net) research project depending on experience and interests of the candidate. Previous experience in neural modeling required, preferentially as subject of PhD. Competences: A recent PhD in a relevant discipline such as neuroscience, molecular biology, biophysics or biochemistry. Experience in programming in Python. Fluent English conversation and writing skills. Benefits / Offer: A competitive salary and relocation package are offered. This an ideal position to gain experience in a prominent computational neuroscience lab and take part in our international collaborations. Please contact Prof. Erik De Schutter (erik(a)oist.jp) for inquiries.

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Neuromatch Conference, abstract submission deadline Sept 5
by Goodman, Daniel F M 31 Aug '22

31 Aug '22

Hi everyone, Neuromatch conference is happening at the end of September. Abstract submission deadline is on Monday, Sept 5th so get your abstract in asap! More details below. All the best, Dan After four successful conferences, Neuromatch is pleased to be holding our fifth. The scope of NMC 2022 includes computational neuroscience and machine learning work that has a biological link. We are excited to have a slate of excellent speakers and panelists lined up including: Keynotes from Larry Abbott, Rosa Chan, Ida Momennejad, and Mac Shine Panel on spiking computation: Priya Panda, Katie Schuman, and Peter Suma Panel on the future of scientific publishing: Tim Behrens, Simine Vazire, and Abeni Wickham Bridging-the-gap with computational psychiatry: Xiaosi Gu and Quentin Huys Each of our conferences has led the way in providing new innovations to the virtual conference space, and this year we are excited to offer you: * This year, all talks will be provided with a DOI for permanent identification of your contribution presented at NMC 2022. * The main talks will be hosted on Crowdcast. Instead of posters, we offer flash talks (brief pre-recorded videos) and dedicated meet-up times for discussion within Reddit. * A new edition of NMC for kids: a special session of talks for a younger audience and the young at heart interested in neuroscience, plus a new “Escape Room” experience. * Last year, we pioneered a new mechanism to connect talks in the conference to corresponding preprints on bioRxiv and medRxiv, and we will provide links to preprints on other platforms such as OSF preprints as well. Registration costs are set at 15 USD to cover technical costs, and if this is a difficulty, the fee can be waived without questions. Important dates: * September 5, 2022: Abstract submission deadline * September 7, 2022: Abstract acceptance and live talk selection news * September 22, 2022: Video submission deadline for flash talks * September 27 - 28, 2022: NMC 2022 Each of the two conference days will have two sessions, each of which is 4 hours long. Here are the hours for each of the sessions, as they would occur across five time zones from around the world: [X] Read more at http://conference.neuromatch.io<http://url7811.neuromatch.io/ls/click?upn=t-2Fc1cBCfoxXosHAxrgKl1QLSIJIza-2…> We look forward to seeing you at NMC 2022! All the best, Neuromatch Conference Organizing Committee

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Professor for Data Science at Univ Göttingen, Germany
by Ecker, Alexander 30 Aug '22

30 Aug '22

tl/dr: - Call for applications: Full professor (W2) for Data Science - Where: University of Göttingen, Germany (Faculty of Mathematics and Computer Science) - Deadline: Oct. 10 - Details: https://www.uni-goettingen.de/en/632302.html - Questions? Contact Alexander Ecker, ecker(a)cs.uni-goettingen.de == DETAILS == The Faculty of Mathematics and Computer Science at the Georg-August-University of Göttingen invites applications for Full Professor (W2) for Data Science (f/m/d) The professorship will be part of the Campus Institute Data Science (CIDAS) and will contribute to its development. CIDAS is a central institution of the University of Göttingen that fosters collaboration with partners of the Göttingen Campus, including the University Medical Center, the Cluster of Excellence “Multiscale Bioimaging,” several Max Planck Institutes, the Leibniz Institute for Primate Research, the Academy of Sciences and the German Aerospace Center Göttingen. The future position holder should have expertise in Data Science that complements the existing expertise at the institute. One of the following research areas is preferred: - Reinforcement learning - Virtual reality, augmented reality and digital avatars - Natural language processing - Human computer interaction - Causal models and inference - Time series modeling - Multimodal data integration and model building - Sensor-based information processing on programmable digital electronics - Image analysis and computer vision - Computational and simulation science - Visualization The candidate should have a track record of internationally competitive high-quality research, a high potential for groundbreaking research in internationally visible projects along with profound experience in supervising students. Strong interest in interdisciplinary collaboration with partners at the Göttingen Campus from disciplines such as biology, medicine, neural and behavioral sciences, digital humanities, social sciences, physics, economics, geosciences, forestry and agricultural sciences is expected. The candidate is expected to engage in undergraduate teaching in the faculty's computer science and data science programs. The University of Göttingen emphasizes research-oriented teaching. The conditions for recruitment are specified in Section 25 of the Higher Education Law of Lower Saxony in the currently applicable version. If all prerequisites are met, the candidate will be employed as a tenured civil servant. International scientists are highly encouraged to apply. The University of Göttingen aims to increase the proportion of women in areas where women are underrepresented and therefore strongly encourages qualified women to apply. As a family-friendly employer, the university promotes the compatibility of science/work and family. The university aims to employ more people with disabilities. People with disabilities who have appropriate qualifications and aptitude for the position will be given special consideration. Online applications with curriculum vitae, list of publications, description of third-party funding, teaching and research activities are requested by October 10, 2022 via the application portal https://lotus2.gwdg.de/uni/umin/w2_data_science_2022.nsf/application For further information, please contact Prof. Dr. Alexander Ecker, Institute of Computer Science and Campus Institute Data Science, via ecker(a)cs.uni-goettingen.de. We would like to point out that the submission of the application constitutes consent under data protection law for us to process your applicant data. For more details on the legal basis and data use, please visit Information General Data Protection Regulation (GDPR)

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Two fully funded PhD positions, Groningen/NL
by Michael Biehl 30 Aug '22

30 Aug '22

Please excuse multiple postings Application *deadline: September 29, 2022* *2 PhD positions* funded by the Groningen Cognitive Systems and Materials Center *(1) Push-Pull Inhibition in Deep Learning* *(2)* *Statistical Physics of Learning* *in Layered Networks* *Two fully funded PhD positions (4 years)* are available at the University of Groningen within the project "Robust Learning of Sparse Representations in Neural Networks". The official job announcement including more details and contact information is now available at https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… All applications should be submitted through this website before September 30, 2022. One PhD *(PP1)* will address the study of *"push-pull inhibition" in deep* *learning*, supervised by Dr. George Azzopardi (www.cs.rug.nl/~george) Candidates should have a strong background in brain inspired computing and deep learning. The second position *(PP2)* will be devoted to the *statistical physics* *based analysis* of model situations. Candidates for PP2 should have a strong background in (theoretical) physics, ideally with experience in the statistical physics based theory of neural networks and learning. Both positions will be *fully funded (4 years) *by the Groningen Cognitive Systems and Materials Center https://www.rug.nl/research/fse/cognitive-systems-and-materials/?lang=en -- --------------------------------------------------- Prof. Dr. Michael Biehl Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence P.O. Box 407, 9700 AK Groningen The Netherlands https://www.cs.rug.nl/~biehl m.biehl(a)rug.nl

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Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?
by Jeffrey Krichmar 26 Aug '22

26 Aug '22

Dear Colleagues, Please consider submitting your work to this special issue of Biological Cybernetics. Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? Submission deadline: September 30, 2022 https://www.springer.com/journal/422/updates/20421374 This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems. The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems. • Active vision’s role in visual search, scene understanding, social interactions, etc. • Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust. • The roles of recurrent and top-down connections in the visual cortex. • Spike based spatiotemporal processing and its implications for neuromorphic vision. • Motion perception in dynamic environments. • Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.) • The roles of attention mechanisms in biological vision. How to submit: Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines. Guest Editors: Kexin Chen - Department of Cognitive Sciences, University of California, Irvine Hirak J. Kashyap - Department of Computer Science, University of California, Irvine Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine Xiumin Li - College of Automation, Chongqing University, Chongqing, China If you have any questions, please reach out to one of the guest editors. Best regards, 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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Open PhD position at the Goethe University Frankfurt / Germany
by Claudius Gros 24 Aug '22

24 Aug '22

I would like to bring your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualification will be given preferential consideration. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

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Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts)
by Vasily Vakorin 22 Aug '22

22 Aug '22

Several Ph.D. positions at SFU, Vancouver (clinical EEG recordings and medical texts). Several fully-funded Ph.D. positions are available at Simon Fraser University (Vancouver, Canada), at the Department of Biomedical Physiology and Kinesiology and the School of Engineering Science. Ph.D. candidates will focus on research in neurophysiology, such as electroencephalography (EEG) and magnetoencephalography (MEG), and machine learning to study clinical populations. One of the large-scale projects is based on an extensive dataset of routine clinical EEG recorded and evaluated in the process of a diagnostic workup at four local public hospitals. The data include EEG scans and corresponding EEG reports (written impressions of the visual analysis of the EEG, which was done by neurologists). One Ph.D. project will use EEG recordings to predict clinically-relevant labels. The other project will apply Natural Language Processing (NLP) tools to develop models for extracting labels from EEG reports. For more information, please contact Dr. Sam Doesburg or Dr. Vasily Vakorin: https://www.bcni-sfu.net . If you are interested, please send your cover letter and CV to vvakorin(a)sfu.ca . Please name the attached files according to the format: Lastname_Firstname_cv.pdf and Lastname_Firstname_coverletter.pdf . Thank you, Vasily Vakorin, Ph.D. Scientist & NeuroInformatics Lead - Behavioral & Cognitive Neuroscience Institute Adjunct Professor - Biomedical Physiology & Kinesiology Simon Fraser University, British Columbia, Canada Affiliated Researcher - Fraser Health Authority, British Columbia Email: vvakorin(a)sfu.ca

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PhD position feelSpace/Cognitive Science University Osnabrück
by Peter König 19 Aug '22

19 Aug '22

PhD opportunity feelSpace GmbH/University Osnabrück in the EU Marie-Curie project OptiVis. Work in a great team and make blind people grasp. https://euraxess.ec.europa.eu/jobs/826171 The webpage states "filled", but it is not. https://optivist.eu/project-10 For more information contact Peter König pkoenig(a)uos.de -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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