- Comp-neuro - lists.cnsorg.org

New Book: Information Theory
by James V Stone Oct. 17, 2022

Oct. 17, 2022

New book (well, new edition). Information Theory: A Tutorial Introduction. Contains two new chapters: Rate Distortion Theory and Transfer Entropy. Reviews, table of contents, code, and Chapter 1 here: https://jamesstone.sites.sheffield.ac.uk/books/information-theory-2nd-editi… regards, Jim Stone -- James V Stone Honorary Associate Professor, Sheffield University, UK. Web: https://jamesstone.sites.sheffield.ac.uk/books Twitter: @jgvfwstone

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Test Email
by Shailesh Appukuttan Oct. 14, 2022

Oct. 14, 2022

This is a test email for maintenance purposes. Please ignore. Cheers, Shailesh Appukuttan *OCNS Webmaster*

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Up to 6 PhD fellowships in Cognitive Neuroscience at SISSA, Trieste, Italy, to start Oct, 2020
by Alessandro Treves Oct. 12, 2022

Oct. 12, 2022

SISSA is an elite postgraduate research institution located in Trieste, Italy, and focused on Maths, Physics and Neuroscience. It operates in English: many among its students and faculty are not Italian. The Cognitive Neuroscience Department hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department is very inter–disciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational and mathematical models. Students with diverse backgrounds (physics, math, medicine, psychology, biology) are most welcome to apply. The Department has an exceptional track record with highly competitive funds (recent funding includes 4 ERC and 3 Human Frontiers grants) and publication in top journals (Nature, Science, PNAS, Current Biology). Recent placements after PhD include Harvard, MIT, Columbia and Princeton in the US; the NTNU, Manchester and Radboud in Europe; and Sydney University, Australia. Our alumni have been awarded 4 ERC grants, the 2015 Kandel Young Neuroscientist Prize and the 2017 ICTP Prize. More information about the Department is available at our website https://phdcns.sissa.it. The selection procedure is now open; to learn how to apply, please visit https://phdcns.sissa.it/admission-procedure. Please contact the PhD Coordinator (davide.crepaldi(a)sissa.it) and/or your prospective supervisor for more information and informal enquiries. -- Alessandro Treves SISSA, Cognitive Neuroscience, http://people.sissa.it/~ale/limbo.html if in, rm 241, via Bonomea 265, 34136 Trieste, Italy: +39-040-3787623

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PhD positions available in ML-flavoured neural modelling
by Goodman, Daniel F M Oct. 11, 2022

Oct. 11, 2022

If you're interested in doing a PhD with me in using ML techniques to explore neuroscience questions with spiking neural networks, etc. Please get in touch. Application process: http://neural-reckoning.org/openings.html To get a quick idea of whether or not you're interested, check out this paper. Basically if you like this, you'd be at home. http://neural-reckoning.org/pub_heterogeneity.html Dan If you are interested in a future where access to and participation in research are equitable and open to all, please take a moment to read and sign our open letter to the White House Office of Science and Technology Policy<https://ostp-letter.github.io/why.html>. Your support can make a real difference to the future of research.

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The Donders Institute is looking for a new Scientific Director!
by Fleur Zeldenrust Oct. 11, 2022

Oct. 11, 2022

Are you a leading researcher in the field of brain, cognition and behaviour with experience in managerial leadership? Do you have a clear vision on the future of cognitive neuroscience and are you able to translate this into a coherent business strategy for one of the leading neuroscience institutes in Europe? Then combine your scientific and leadership skills as the scientific director of the Donders Institute. In 2023, a new governance structure will be implemented at the Donders Institute. As part of this development, the Donders Institute has an opening for a scientific director who will spend 0.5 FTE as director of the institute and 0.5 FTE for research activities and teaching. As scientific director, you will be the head and chair of the Executive Board of the Donders Institute Network. The Scientific Director is ultimately responsible for the overarching research activities and research strategy and for managerial and financial aspects of the Donders Institute. The latter include among others various portfolio's, such as the Donders Graduate School's graduate programme, talent development, societal impact, external relations, public outreach, diversity and sustainable science. Since most researchers at the Donders Institute are based at partners of the Donders Institute (Faculty of Science, Faculty of Social Sciences, the Radboud university medical center, Donders Centre for Cognitive Neuroimaging, Max-Planck Institute for Psycholinguistics), you will consult with the deans/directors involved at the Supervisory and Strategy Boards' meetings to set out a long-term research strategy, financial commitment and investment programme. You will chair the Executive Board of the Donders Institute, the Research Platform with the leaders of the Institute's four research themes, and the Strategy Board, which includes the directors of the four Donders Centres and the Max Planck Institute for Psycholinguistics (MPI). The Research Platform and the Strategy Board operate as advisory bodies to the Executive Board for all strategic issues of the Donders Institute Network. As scientific director, you will be accountable to the Supervisory Board, which will respond to Radboud University's Executive Board. Interested? Combine your scientific and leadership skills as the scientific director of the Donders Institute and apply online before 7 November. More information about how to apply can be found here: https://www.ru.nl/en/working-at/job-opportunities/scientific-director-for-t… Fleur Zeldenrust -- Fleur Zeldenrust Assistant Professor Donders Institute for Brain, Cognition and Behaviour Donders Centre for Neuroscience Faculty of Science, Radboud University Heyendaalseweg 135, room HG 00.111 6525 AJ Nijmegen, the Netherlands tel +31 24 36 53195 fleurzeldenrust.nl *Due to my own family/work balance, you may receive emails from me outside of normal working hours. I do not expect a response from you outside of your own working pattern, nor do I expect an immediate response when you are working.*

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Neuroimaging Data Analyst Position at Stanford University
by Mai-Phuong K Bo Oct. 10, 2022

Oct. 10, 2022

Dear Colleagues, The Stanford Cognitive and Systems Neuroscience Laboratory in the Department of Psychiatry and Behavioral Sciences at Stanford University has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (https://scsnl.stanford.edu<http://scsnl.stanford.edu/>) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please include a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford(a)gmail.com<mailto:scsnl.stanford+quantitative@gmail.com> Thank you, Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:e70df0c1-2a80-4fb7-91a9-bf1692af5692]

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DeepMath Registration reminder
by Ahmed El Hady Oct. 7, 2022

Oct. 7, 2022

*Dear all,* * **Just reminding everyone that the**registration is still open for DeepMath 2022 : ** https://www.eventbrite.com/e/deepmath-2022-registration-393832562797 We**have an amazing line up of invited**speakers: * Francis Bach**(INRIA) * Anima Anandkumar (CalTech) * Sara Solla**(Northwestern) * Berk Ustun**(UCSD) * Yisong Yue**(Caltech) * Courtney**Paquette (McGill) * Daniel Soudry ( Technion ) In**addition, we have a poster session and ample**opportunities for researchers across disciplines to discuss state of the art**research on the theoretical understanding of deep neural networks. So save your**spot . == Location == DeepMath 2022 will be held in**San Diego, CA, USA.. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com/>) for more details on venue and hotels ** The**talks will be freely live-streamed over YouTube and subsequently posted on the**DeepMath YouTube**channel : https://www.youtube.com/channel/UCamugMiftSeZo4EjdtePPyw/playlists ** Please get in touch in case you have**any outstanding questions. All the best, Ahmed El Hady** ** On behalf of the DeepMath 2022**Organizational Committee ********** *

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Postdoctoral position in computational/theoretical neuroscience
by Maxim Bazhenov Oct. 7, 2022

Oct. 7, 2022

The Bazhenov Lab at the University of California, San Diego (https://www.bazhlab.ucsd.edu) is seeking to fill a postdoctoral position to study role of sleep in memory and learning. The ultimate goals of the work are to understand how sleep contributes to continual learning, generalization and transfer of knowledge and how sensory or electrical stimulation affect sleep dynamics and memory consolidation in human and animal brain (see, e.g., 10.7554/eLife.51005; 10.1093/cercor/bhaa228; 10.1523/JNEUROSCI.1427-19.2019; doi.org/10.1523/JNEUROSCI.2044-21.2022 ). To address these questions, we develop and apply large-scale models of the brain dynamics in sleep and wakefulness, based on animal and human data, in close collaboration with experimental laboratories. Our lab other research directions include topics in neuroscience (olfaction, epilepsy, TBI) and neuroscience inspired artificial intelligence (lifelong learning, generalization, adversarial robustness); lab members are encouraged to participate in multiple projects. The successful candidate will be responsible for the design and analysis of the anatomically realistic large-scale brain models based on experimental data. Qualified applicants are expected to have background and experience in neuroscience, computational neuroscience, physics/engineering and/or mathematics. Knowledge and experience in C/C++ and PYTHON are a big plus. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation
by Jeffrey Krichmar Oct. 6, 2022

Oct. 6, 2022

Dear Colleagues, We are pleased to announce the release of CARLsim 6: An Open Source Library for Large-Scale, Biologically Detailed Spiking Neural Network Simulation. Abstract. The CARLsim SNN platform is one of the first Open Source simulation systems that utilized CUDA GPUs to address the tremendous parallel processing demands of natural brains. It has evolved over almost a decade in numerous scientific research projects requiring efficient biologically plausible modeling at scale. With its sixth major release, CARLsim 6 respects this legacy by supporting the latest versions of operating systems, development tool chains, multi-core computers, and of course GPUs. It runs on a range of platforms; from Notebooks up to the NVIDIA DGX-A100 supercomputer, and is used in biologically plausible simulations of the hippocampus and neocortex. The latest version has added flexibility for incorporating long-term and short-term synaptic plasticity. Neuromodulation is an important property of neurobiology that can lead to rapid few shot learning, network rewiring, and neural activity modulation. Because of this, CARLsim 6 now supports four multiple neuromodulators for simulating neural excitability and synaptic plasticity. Software: https://github.com/UCI-CARL/CARLsim6 A paper describing CARLsim 6 can be found here: https://ieeexplore.ieee.org/document/9892644 A video describing CARLsim 6 can be found here: https://www.youtube.com/watch?v=6d97ElAiKjc 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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Gatsby Unit PhD Programme: Applications now open
by I-Chun Oct. 5, 2022

Oct. 5, 2022

4-Year PhD Programme in Theoretical Neuroscience and Machine Learning Call for Applications! Deadline: 13 November 2022 The Gatsby Computational Neuroscience Unit is a leading research centre focused on theoretical neuroscience and machine learning. We study (un)supervised and reinforcement learning in brains and machines; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing. The unit provides a unique opportunity for a critical mass of theoreticians to interact closely with one another and with researchers at the Sainsbury WellcomeCentre for Neural Circuits and Behaviour (SWC), the Centre for Computational Statistics and Machine Learning (CSML) and related UCL departments such as Computer Science; Statistical Science; Artificial Intelligence; the ELLIS Unit at UCL; Functional Imaging; Neuroscience; and the nearby Alan Turing and Francis Crick Institutes. Our PhD programme provides a rigorous preparation for a research career. Students complete a 4-year PhD in either machine learning or theoretical and computational neuroscience, with minor emphasis in the complementary field. Courses in the first year provide a comprehensive introduction to both fields and systems neuroscience. Students are encouraged to work and interact closely with SWC/CSML researchers to take advantage of this uniquely multidisciplinary research environment. Applicants should have a strong analytical and quantitative background, a keen interest in neuroscience, machine learning or both, and a relevant first degree, for example in Mathematics, Statistics, Computer Science, Engineering, Physics, Neuroscience or Cognitive Psychology. Full funding is available regardless of nationality. The unit also welcomes applicants who have secured or are seeking funding from other sources. Applications should be submitted directly to us via the online portal. For programme details and how to apply, see www.ucl.ac.uk/gatsby/study-and-work/phd-programme -- I-Chun Lin, PhD Scientific Programme Manager Gatsby Computational Neuroscience Unit, UCL www.ucl.ac.uk/gatsby | @GatsbyUCL

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Accepting Applications for 2023 CCN Workshop on Calcium & Imaging Voltage Analysis
by Matthew Turner Oct. 4, 2022

Oct. 4, 2022

Dear Neuroscience Community Members, The Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation is pleased to announce that we're accepting applications for our free 2023 CCN Workshop on Calcium & Imaging Voltage Analysis; please note that travel awards will also be made available for persons from populations underrepresented in the scientific workforce as defined by NIH <https://diversity.nih.gov/about-us/population-underrepresented>. For more information, please see below or visit the workshop website <https://indico.flatironinstitute.org/event/3293/>. 2023 CCN Workshop on Calcium & Imaging Voltage Analysis <https://indico.flatironinstitute.org/event/3293/> Workshop Description New imaging modalities - including endoscopic and multiphoton calcium imaging, and single and multiphoton voltage imaging, among others - have granted unprecedented access to the activity of large neuronal populations with high temporal resolution. As such, those methods have been instrumental in obtaining new neurobiological insights inaccessible to other recording modalities. However, the barrier to establishing reproducible and efficient computational pipelines for imaging datasets, along with the difficulty of integrating this technology into real-time experiments, have substantially slowed progress in neuroscience and represent a significant opportunity cost for many laboratories. CaImAn is an open-source software platform that provides optimized and scalable routines to process imaging data with the goal of extracting the activity of each neuron. CaImAn handles multiple imaging modalities (voltage, calcium, endoscopic, multiphoton, volumetric) and analysis settings (batch/offline vs online/real-time). Mesmerize is a new organizational and visualization framework that allows for efficient and streamlined analysis using CaImAn algorithms, and enables users with minimal programming experience to use CaImAn effectively. CaImAn is very popular among neuroscientists world-wide, but its widespread dissemination, the efficient use of its routines, and the opportunities provided by Mesmerize, require access to training opportunities. We will address this challenge by establishing a workshop at the Flatiron Institute, Simons Foundation. The free workshop will be of interest to imaging researchers at many levels of experience. It will provide a unique opportunity to directly learn from lead developers of both CaImAn and Mesmerize for analysis of calcium and voltage data. Attendees will receive: - Tutorials on cutting edge calcium and voltage imaging analysis tools. - Hands-on training with real data sets and practical code examples that they will be able to use with their own data. - Receive training on the new Mesmerize framework for batch analysis and data organization enabling streamlined use of CaImAn algorithms. - Training on the mesmerize-viz and fastplotlib libraries for very fast visualization or large-scale datasets in Jupyter notebooks. - More experienced users and developers will have the opportunity to participate in a hackathon, make contributions to the core packages, and become active contributors to these tools moving forward. - Training in DataJoint: data organization and infrastructure with the help of a database server. Application Deadlines Workshop attendance will be capped at 30 attendees. In the event that there are over 30 applications, participation will be restricted to one applicant per lab. Applications to attend the workshop will be accepted through midnight on Sunday, November 6, and admitted attendees will be notified by Friday, November 18; persons who applied for travel grants will also be notified by November 18. If your application is accepted, you will be required to submit your intent to attend by Tuesday, November 22 to help ensure full attendance and to allow time for travel arrangements. The event will also be recorded as a reference for attendees, and for those who are unable to attend. For more information, please visit the conference registration page <https://indico.flatironinstitute.org/event/3293/>, or be in touch with Noah Dlugacz, administrative coordinator, CCN, at ndlugacz(a)flatironinstitute.org. Thanks for your time. Cordially, Matthew Matthew B. Turner Manager for Center Administration | Center for Computational Neuroscience Pronouns: any *FLATIRON INSTITUTE* 160 Fifth Avenue Suite 408 New York, NY 10010 917.363.1095 *mobile* *simonsfoundation.org/flatiron/ <http://simonsfoundation.org/flatiron/>*

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COSYNE 2023: Meeting announcement; Call for Workshop Proposals; DEIA Committee
by Tomas Hromadka Oct. 4, 2022

Oct. 4, 2022

==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== ---------------------------------------------------- MEETING ANNOUNCEMENT ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. All abstract submissions will be reviewed double blind. The deadline for Abstract submission will be 23 November 2022. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. IMPORTANT DATES Abstract submission opens: 05 October 2022 Workshop proposals deadline: 07 November 2022 Abstract submission deadline: 23 November 2022 When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ----------------------------------------------------- COSYNE DEIA COMMITTEE ----------------------------------------------------- The Cosyne Diversity, Equity, Inclusion, and Access (DEIA) committee aims to promote practices of inclusiveness at the meeting. We are currently seeking two additional committee members to participate in the planning for Cosyne 2023. To get involved, please see www.cosyne.org for details on how to apply. ----------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ----------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. - There will be 6-10 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning and late afternoon sessions. - Workshops will be held in Mont-Tremblant, QC, Canada. - Workshop speakers do NOT receive free registration, travel expenses, or accommodation for either the main meeting or the workshop sessions. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers, submitting a final schedule for the workshop program, and moderating the discussion. Organizers can, but need not, be speakers. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. Any required multimedia resources beyond a projector, screen, and microphones will be the responsibility of the workshop organizers to coordinate with Cosyne and the workshop venue A/V staff. EVALUATION CRITERIA As stated above, the goal of Cosyne workshops is to provide an interactive, informal forum for discussions. Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. Workshop proposals will be evaluated by the Cosyne Workshop Chairs, and a subset of the proposals will be selected. The proposals will be evaluated according to the following six metrics (which will be weighted equally): - Relevance to the Cosyne community - Integration of experimental and theoretical issues - Current interest in the topic in the scientific community - Potential for new research directions and interactions to emerge - Distinctive scope/approach compared to other workshops (including previous years’) - Diversity and equity in the proposed speaker (we are looking for representation of women or nonbinary individuals, individuals from other underrepresented groups, and a balance of established and early career researchers) WORKSHOP FULL PROPOSALS - Deadline 07 November 2022 Past years have involved pre-proposal submissions, but this year we will process only full submissions, with a deadline of 07 November 2022. To submit your Cosyne 2023 Workshop Proposal, please visit Cosyne.org -> Workshops -> Call for Proposals In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a speaker can take part in no more than two Workshops. The proposals will include: - Name(s) and email address(es) of the organizers (2 organizers per session is strongly recommended, but 3 will be allowed). - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names and email addresses of speakers, who should already have agreed to participate should the proposal be accepted. - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. - A brief resume of the workshop organizer(s) along with a short list of workshop-relevant publications (about half a page total). - A description of how you have addressed diversity and equity in your workshop. Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and to have plenty of breaks. We recommend keeping the number of talks small (i.e., fewer than 10 talks per day). WORKSHOP COSTS Detailed registration costs, etc, will be at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. Organizers should let invited speakers know that they are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with two organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2023 WORKSHOP CHAIRS Anna Schapiro (U Penn) and Andrew Saxe (Oxford) COSYNE WORKSHOPS CONTACT workshops [at] cosyne.org ----------------------------------------------------- COSYNE MAILING LISTS ----------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> About-> Mailing lists for details.

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Prestigious research fellow position in Neuromorphic computing
by Michael Schmuker Oct. 4, 2022

Oct. 4, 2022

The University of Hertfordshire is hiring a Vice-Chancellors Research Fellow (VCRF) in Neuromorphic Computing, a prestigious position that provides the successful candidate with the opportunity to build a research career. The VCRF in Neuromorphic Computing will be embedded in a leading team of researchers who advance computational olfactory neuroscience, mapping the chemical space of odorants, electronic gas sensing, and gas-based robotic navigation. The successful candidate will therefore have the unique opportunity to develop an internationally leading research agenda in this field. We are looking for candidates who already have established a track record related to either neuromorphic computing, or electronic olfaction, or computational neuroscience, that should be documented by publications in peer-reviewed journals. Please see the advert and apply here: https://www.jobs.ac.uk/job/CTN846/vice-chancellors-research-fellow-in-neuro… <https://www.jobs.ac.uk/job/CTN846/vice-chancellors-research-fellow-in-neuro…> Closing date 11th Oct. Please get in touch for informal inquiries: m.schmuker(a)herts.ac.uk <mailto:m.schmuker@herts.ac.uk> Best wishes, Michael -- Dr Michael Schmuker AFHEA Professor of Neural Computation Biocomputation Group University of Hertfordshire http://biomachinelearning.net

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Swartz postdoctoral fellowship in theoretical neuroscience at Harvard
by Blum, Kenneth I. Oct. 4, 2022

Oct. 4, 2022

The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship<https://cbs.fas.harvard.edu/research/theory/#swartz> is available at Harvard University with a start date in the fall of 2023. Postdocs join a vibrant group of theoretical<https://websites.harvard.edu/cbs/research/theory/> and experimental neuroscientists and theorists in allied fields at Harvard’s Center for Brain Science<https://websites.harvard.edu/cbs/>. The Center for Brain Science includes faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Applications will be considered beginning October 1, 2022 and continuing until the position is filled. Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim(a)fiz.huji.ac.il<mailto:haim@fiz.huji.ac.il>) or Kenneth Blum (kenneth_blum(a)harvard.edu<mailto:kenneth_blum@harvard.edu>). Applications should have “Swartz Fellowship” in the subject line. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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Online Symposium on Computational Approaches to the Mind
by Nadine Spychala Oct. 4, 2022

Oct. 4, 2022

Dear all, we invite you to participate in a *one-day online-only symposium* on *21st October 2022 *- free of charge and open to all: Rethinking Computational Approaches to the Mind - Fundamental Challenges and Future Perspectives - This event will bring together researchers with expertise in various areas such as complexity science, machine learning & artificial intelligence, information theory & data science, as well as computational/theoretical neuroscience & philosophy to explore different computational approaches in the study of the “mind” (in brains and/or machines): 1. What are those approaches essentially about? 2. What are major benefits & caveats? 3. Do different approaches speak to, complement, or contradict each other? 4. What are the *current challenges* in computational approaches to understand the mind, and what could bring progress? The event is organized within the “Sensation and Perception to Awareness: Leverhulme Doctoral Scholarship Programme <https://www.sussex.ac.uk/sensation/>” at the University of Sussex, and will comprise a set of talks followed by a panel discussion. Find more info - including how to register - on our event website <https://computationalmind.github.io/>. Feel free to spread widely in your networks. We look forward to a day of exciting talks and discussions! Nadine Spychala, Tomasz Korbak, & Federico Micheli (event organizers)

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Jobs at the Allen Institute: linking neuronal function, cell types, and connectivity
by Anton Arkhipov Oct. 4, 2022

Oct. 4, 2022

Dear Colleagues, We are hiring for multiple positions in a new ambitious project supported by the NIH U01 grant from the BICAN consortium (please see the announcement<https://www.nimh.nih.gov/news/science-news/2022/nih-brain-initiative-launch…>). Combining optical physiology in vivo with spatial transcriptomics and electron microscopy, we aim to link cell types of the mouse cortex with their function. The project is led by Marina Garrett (Allen Institute), Jack Waters (Allen Institute), Jerry Chen (Boston University), and Anton Arkhipov (Allen Institute). Scientist – Imaging: The person in this position will lead experimental imaging work to utilize and improve the spatial transcriptomics platform used in this project. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2212881 Scientist – Analysis of Connectome and Functional Activity: This scientist will focus on linking the connectome and morphologies of cortical neurons to their activity in vivo, using the Electron Microscopy (EM) volume of 1 mm3 of the mouse visual cortex obtained by the Allen Institute. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2209286 Scientist - Neurophysiology Data Analysis: This scientist will focus on the analysis of the visual physiology data from 2p calcium imaging in vivo to study neural coding and circuit dynamics. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2231731 Software Engineer - Tools for Neurophysiology Data Analysis: The software engineer will build software tools and infrastructure to support processing and analysis of multi-modal image-based datasets in this project. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=2232755 Scientist - Neural Data Analysis: This scientist will focus on linking the 2p calcium imaging and spatial transcriptomics modalities for individual cells, including tasks like co-registration and exploration of statistical relationships between the functional and transcriptomics types. https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1937290 Please consider applying and reach out if you have any questions. And we will appreciate it if you help us spread the word about these opportunities! Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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NIH-funded Postdoc or Software Developer position on multiscale brain modeling
by Shailesh Appukuttan Oct. 3, 2022

Oct. 3, 2022

*(posting on behalf of Dr. Salvador Dura-Bernal)* An NIH-funded Postdoc or Software Developer position is now available in the Dura-Bernal Lab <http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position is focused on multiscale modeling of the brain, more specifically, developing a co-simulation interface between the NetPyNE <http://www.netpyne.org/> and The Virtual Brain <http://dura-bernal.org/www.thevirtualbrain.org> (TVB) tools, which will link the molecular, cellular, circuit and whole-brain network scales. The resulting multiscale models will help interpret experimental data ranging from single cell recordings and LFP up to EEG and fMRI. For details please visit: http://dura-bernal.org/postdoc-2022 or email salvador.dura-bernal(a)downstate.edu

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Extended deadline (Nov 30): Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?
by Jeffrey L Krichmar Sept. 30, 2022

Sept. 30, 2022

Dear Colleagues, Due to numerous requests, we have extended the deadline for submitting a paper to the Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience? New Submission deadline: November 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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Brown University Postdoc (and other positions) in Systems Neuroscience
by Theresa Desrochers Sept. 30, 2022

Sept. 30, 2022

The Desrochers Lab at Brown University is currently recruiting multiple positions. The text that follows is specific to a postdoc. Please contact Dr. Desrochers if you are interested in other (e.g., graduate student or RA) positions. We invite applications for a unique Postdoctoral Research Associate position to study the neural bases of cognitive and behavioral sequences in the laboratory of Dr. Theresa Desrochers in the Department of Neuroscience at Brown University. The position will include the opportunity to study behaving NHPs using fMRI, neurophysiology, and/or computational techniques. The Desrochers Lab (http://neuroscience.brown.edu/desrochers) provides a unique cross-level and cross-species training environment situated within a highly collaborative research environment fostered by Brown University and the Carney Institute for Brain Science (https://www.brown.edu/carney) With the research and brain science communities growing, it is an exciting time to be at Brown University. Applicants should have a strong background in systems neuroscience, behavioral training, electrophysiology, or fMRI. Strong quantitative skills and previous experience with animals and/or NHPs is preferred. Applicants must hold a Ph.D. in Neuroscience, Psychology, or a related discipline or must show evidence that the Ph.D. will be completed before the start of the position. This funded position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience according to the NIH scale. Brown University is an EEO/AA employer and encourages applications from minorities and women. Review of applications will begin immediately and will continue until the position is filled or the search is closed. For more information, please contact theresa_desrochers(a)brown.edu. ~Theresa -- Theresa M. Desrochers, Ph.D. Rosenberg Assistant Professor of Brain Science Department of Neuroscience Department of Psychiatry and Human Behavior (courtesy) Carney Institute for Brain Science Brown University http://neuroscience.brown.edu/desrochers

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Computational Neuroscience Position
by Neymotin, Samuel (NKI) Sept. 29, 2022

Sept. 29, 2022

A computational neuroscience postdoc position is available at the Nathan Kline Institute for Psychiatric Research (https://www.nki.rfmh.org) to work on recently awarded grants from NIH (MPI: Schroeder, Bickel, Neymotin) and ARO (PI: Neymotin). The NIH project aims to investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory system, using a combination of electrophysiology and biophysical circuit modeling of the thalamocortical system. The ARO project involves developing circuit models of the hippocampus interfaced with virtual agents, and training the agents/models to perform spatial navigation tasks using biologically-inspired learning rules. Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural data analysis, machine learning, and writing/presenting research. To find out more, email Sam Neymotin (samuel.neymotin(a)nki.rfmh.org) To apply, send a CV and cover letter. NKI is an equal opportunity employer. ________________________________ 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.

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Postdoc (3 years) in computational neuroscience / computational neurology
by Daun, Silvia Sept. 28, 2022

Sept. 28, 2022

Dear All, the Daun lab at the University of Cologne / the Research Center Juelich in Germany is seeking a Postdoc to join a project on the computational modeling of the neural processes underlying motor control: Your Job: In comparison to sensory, cognitive, or affective-emotional systems, the motor system’s output is directly quantifiable and comparable across species. When studying the neural mechanisms underlying motor control, behavioral readouts across species offer the potential to overcome one grand challenge in neuroscience: bridging the gap between molecular, cellular, and systems levels. Importantly, the motor system is affected in many, if not all, neurological and psychiatric disorders. Hence, a more comprehensive understanding of the motor system will further our understanding of the neural mechanisms underlying neurological and psychiatric disorders. Likewise, neuropsychiatric diseases allow novel insights into the motor system’s (dys-)function and testing models of motor control. The successful candidate will be part of a collaborative research center (CRC1451; https://www.crc1451.uni-koeln.de)<https://www.crc1451.uni-koeln.de),/> located at the University of Cologne that brings together neuroscientists investigating neural processes underlying motor control on these different levels in animals and humans, in both health and neuropsychiatric diseases. This includes: * Being part of the Project INF of the CRC1451: Data Management for Computational Modeling (https://www.crc1451.uni-koeln.de/index.php/inf/) Within this project they will be responsible for the development of data-driven, cross-species computational models of motor control which shall be based on the data collected in the individual and central projects of the CRC1451. The rich data collection contains behavioral and kinematic data of humans and mice (locomotion); fMRI, EEG and TMS data from healthy subjects and patients (with stroke, Alzheimers’ or Parkinsons’ disease as well as tic disorders) as well as electrophysiological recordings from mice. * Presentation and publication of the results * Interaction with team members and collaborators from Psychology, Medicine, Biology and Computational Neuroscience * Participation in the CRC1451 events Your Profile: * Completed study (Master) in Computer Science, Computational Neuroscience, Physics, Mathematics, Biomedical Engineering * Outstanding doctoral degree in one of the above disciplines * Significant programming skills (preferably in Matlab or Python) * Strong, long-standing experience in data-driven computational modeling * Keen interest in understanding the motor system * Proven scientific achievements as evidenced by publications in international, peer-reviewed journals * Interest in combining basic research and translational research on patients * Good command of English * High social competence and organizational talent * High motivation Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your work with: * A large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work * A stimulating, collaborative, and international research environment * Comprehensive training courses and individual opportunities for personal and professional further development * Extensive company health management * Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy * Targeted services for international employees, e.g. through our International Advisory Service We offer you an exciting and varied role in an international and interdisciplinary working environment. The position is for a fixed term of 3 years. Salary and social benefits will conform to the provisions of the Collective Agreement for the Public Service (TVöD-Bund), pay group 13, depending on the applicant’s qualifications and the precise nature of the tasks assigned to them. We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. For informations on how to apply please refer to https://www.fz-juelich.de/de/karriere/stellenangebote/2022-395 Closing date: 02.11.2022 Best, Silvia Prof. Dr. rer. nat. Silvia Daun Stellvertreterin des INM-3 Direktors Stellvertretende Sprecherin des SFB1451 Kognitive Neurowissenschaften Institut für Neurowissenschaften und Medizin (INM-3) Forschungszentrum Jülich Leo-Brandt-Str. 5 52425 Jülich Telefon: 02461-61-8638 Telefax: 02461-61-9853 Email: s.daun(a)fz-juelich.de https://www.fz-juelich.de/de/inm/inm-3 <https://www.fz-juelich.de/de/inm/inm-3>und Zoologisches Institut Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Telefon: 0221-470-3829 Telefax: 0221-470-4889 Email: silvia.daun(a)uni-koeln.de https://zoologie.uni-koeln.de/arbeitsgruppen/ag-daun ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Post-doc @ Italian Institute of Technology, Ferrara
by Alessandro D'Ausilio Sept. 28, 2022

Sept. 28, 2022

Post-doc position in Human Neurophysiology of Sensorimotor Communication Duration: 2 years, renewable for 3 more. Who: Physicists, computer scientists, biomedical/electrical engineers, biologists, biotechnologist, medical doctors and experimental psychologists with a PhD in Neuroscience or related disciplines. We will positively evaluate the following: Documented experience with EEG/TMS/MoCap. Documented experience in advanced data analysis. Programming skills. Team-working skills. Work environment: You will be working in very friendly environment within a larger multidisciplinary group of about 30-35 people. Your will be part of a sub-group composed by 2 other post-docs and 8 PhD students working side by side with an advanced statistical methods group (1 researcher + 3 post-docs). Open door policy. Where: The Center for Translational Neurophysiology of Speech and Communication (CTNSC) @ Italian Institute of Technology (IIT), hosted by the University of Ferrara. The city: the CTNSC is hosted in a prestigious historical building in the city center. Ferrara is a well connected renaissance city (30-min to Bologna, 40-min to Padua, 60-min to Venice; 2 nearby international airports), bustling with students (https://whc.unesco.org/en/list/733 <https://whc.unesco.org/en/list/733>). Accommodations are relatively cheap and you won’t need a car as everyone uses a bicycle. Feel free to contact me for more info: alessandro.dausilio(a)gmail.com <mailto:alessandro.dausilio@gmail.com> CTNSC website: https://www.iit.it/it/web/multiscale-brain-communication <https://www.iit.it/it/web/multiscale-brain-communication> Application website: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=22000066 <https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=22000066> DEADLINE: October 15th, 2022

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Job Openings: Research Assistant Professor in Computer Science (3 vacancies) at Hong Kong Baptist University
by COMP HKBU Sept. 28, 2022

Sept. 28, 2022

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. *Research Assistant Professor in Computer Science (3 vacancies) (PR0174/22-23)* The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. The initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Prof. Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk. *Salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably the three best ones out of their most recent publications/works. Those should also request two referees to send in confidential letters of reference, with the PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk <https://hro.hkbu.edu.hk/admin/recruit@hkbu.edu.hk>) direct. Those who are not invited for interview 4 months after the submission of the application may consider their applications unsuccessful. All application materials including publication samples, and scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University's Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is on-going until the positions are filled. URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832 <https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=832>*

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DeepMath 2022 ( Nov 17th - 18th, San Diego) Registration
by Ahmed El Hady Sept. 26, 2022

Sept. 26, 2022

**** *Dear all,* * **The**registration is open for DeepMath 2022 : ** https://www.eventbrite.com/e/deepmath-2022-registration-393832562797 We**have an amazing line up of invited**speakers: * Francis Bach**(INRIA) * Anima Anandkumar (CalTech) * Sara Solla**(Northwestern) * Berk Ustun**(UCSD) * Yisong Yue**(Caltech) * Courtney**Paquette (McGill) * Daniel Soudry ( Technion ) In**addition, we have a poster session and ample**opportunities for researchers across disciplines to discuss state of the art**research on the theoretical understanding of deep neural networks. So save your**spot . == Location == DeepMath 2022 will be held in**San Diego, CA, USA.. Stay tuned to the DeepMath website (www.deepmath-conference.com <http://www.deepmath-conference.com/>) for more details on venue and hotels ** ** The**talks will be freely live-streamed over YouTube and subsequently posted on the**DeepMath YouTube**channel : https://www.youtube.com/channel/UCamugMiftSeZo4EjdtePPyw/playlists Please get in touch in case you have**any outstanding questions. All the best, Ahmed El Hady On behalf of the DeepMath 2022**Organizational Committee ***

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Neuroimaging Statistics Faculty Opportunities
by Shuo Wang Sept. 26, 2022

Sept. 26, 2022

Dear Colleagues, We have a neuroimaging statistics faculty position at Washington University in St. Louis: https://facultyopportunities.wustl.edu/Posting/Detail/1010785. Please apply if you are interested. Thank you, Shuo -- Shuo Wang, Ph.D. Assistant Professor Department of Radiology Washington University in St. Louis https://sites.wustl.edu/wanglab/

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