November 2023 - Comp-neuro - lists.cnsorg.org

[Meetings] 2024 Nengo Summer School Call For Applications
by Michael Furlong 17 Nov '23

17 Nov '23

Dear colleagues, [All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 9th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to neuromorphic hardware and will learn to run high-level applications using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems and has been used to build what is currently the world's largest functional brain model, Spaun, which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at the last in-person summer school, check out this short video: https://youtu.be/vRcN5-0wdQE We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. ***Application Deadline: February 1, 2024*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modelling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: * interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi 1, SpiNNaker) * build perceptual, motor, and sophisticated cognitive models using spiking neurons * model anatomical, electrophysiological, cognitive, and behavioural data * use a variety of single cell models within a large-scale model  * integrate machine learning methods into biologically oriented models * interface Nengo with cameras and robotic systems * implement modern nonlinear control methods in neural models * and much more… Date and Location: June 2nd to June 14th, 2024 at the University of Waterloo, Ontario, Canada. Applications: Please visit http://www.nengo.ai/summer-school, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Michael Furlong (michael.furlong(a)uwaterloo.ca). The school is partly supported by ABR, Inc. We look forward to hearing from you!

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PhD position Bioengineering and Robotics | University of Genoa, ITALY
by Silvio P. Sabatini 17 Nov '23

17 Nov '23

Applications are invited for one full-time PhD studentship for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering (DIBRIS), University of Genoa, Italy. The position will start on *Mar 1st, 2024* on the following research project: *A computational analysis of early vision function in silico networks of LIF neurons* Description: Computational models of early visual processing typically rely on simple linear contrast-encoding assumptions, which do not account for many higher-order mechanisms. Accordingly, many details remain underrated, as well their implications on functional vision. The project aims to implement neuromorphic multi-layer networks of leaky integrate-and-fire (LIF) neurons in cascade to a motorized event-based camera (DAVIS, DVS, https://inivation.com/technology/), to obtain artificial replicas of the early stages of an active vision system. Testing the models will involve the assessment of multiple and varying parameters captured under real-life and adaptive conditions. At functional level, the system will (1) consider the neural resources required to account for a range of linear/nonlinear early visual processes, and (2) provide the inference engines for relating the resulting visual representations to performance on psychophysical tasks. The visual performance of the resulting silicon model will be comparatively assessed with that of typical a human observer. The objective is twofold: on the one hand, we contribute a deeper understanding of visual processes, especially about predicting how early computation may reverberate through the sensory pathways eventually contributing to functional vision. On the other hand, we contribute to the definition of a new generation of perceptual machines to be used in robotics and in general in newly developed Artificial Intelligence systems. The research will be conducted at the Bioengineering/PSPC labs of DIBRIS. Applicants are expected to: (1) have a Master’s degree in Bioengineering, Robotics engineering, Electrical Engineering, Computer Science, Physics or related disciplines, (2) have a keen interest in Vision Science and in Artificial Intelligence, (3) have good programming skills in at least one language (MATLAB, C/C++, Python, C#), (4) work well in group problem solving situations, (5) have intermediate communication skills (oral and written in English). Experience in neural modeling is a plus. Prospective students, please contact Silvio P. Sabatini ( silvio.sabatini(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. *Online application is possible till *December 18th , 2023 (12:00 a.m. CET)** Full details on the call and the application procedure are available at: https://unige.it/dottorati-di-ricerca and https://biorob.phd.unige.it/how-to-apply Reference: Course: BIOENGINEERING AND ROBOTICS In agreement with the Foundation of the Italian Institute of Technology (Fondazione Istituto Italiano di Tecnologia – IIT) Curriculum: BIOENGINEERING (CODE 10137) Regards, -- -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] DIBRIS - University of Genova | e_mail: silvio.sabatini(a)unige.it Via Opera Pia, 13 | phone: +39 010 33 52092 I-16145 Genova (ITALY) | fax: +39 010 33 56533 URL: http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

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Faculty job in Bristol
by Conor Houghton 16 Nov '23

16 Nov '23

We are looking for someone whose research encompasses neural computation and ML / AI to join us at Bristol University. We're hoping to appoint at Senior Lecturer / Associate Professor level but a Lecturer / Assistant Professor appointment would also be possible. The University of Bristol is an exciting centre for research into the nature of computation and inference in humans, animals and machines. Our computational neuroscience group has made important contributions in, for example, anatomically-constrained neural networks, Bayesian approaches to data and inference, biomimetic deep learning, neurolinguistics and the theory of neural networks. We will consider candidates from across the broad range of neural computation, computational neuroscience and AI; the only constraints is that we want someone who will be happy being part of a neural computation community and who can teach machine learning and AI. The University has a long tradition of cross-disciplinary research and computational neuroscience is recognised for our central role in the local neuroscience and machine learning / AI communities. Bristol itself is attractive city within easy reach of London, close to appealing countryside. It has a thriving arts and music scene and an optimistic international outlook. Our advert is here: https://www.jobs.ac.uk/job/DEB054/lecturer-senior-lecturer-associate-profes… The deadline for applications is 2023-12-07 with interviews on 2024-01-12. Contact any of us if you have any questions. All the best Conor Houghton, Laurence Aitchison, Seán Froudist-Walsh (conor.houghton / laurence.aitchison /sean.froudist-walsh)(a)bristol.a ______________________________ Conor Houghton SEMT, Bristol University. Merchant Vulturers Building, Woodland Road BS8 1UB, Bristol conorhoughton.github.io pronouns: he / him [cid:2cf58357-6141-4f7f-a405-d7a7231e8bb1]

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Two weeks left to apply: PhD program in Behavior, Cognition, and Neuroscience at American University (Dec 1)
by Laurie Bayet 16 Nov '23

16 Nov '23

Dear all, Applications to the PhD program in Behavior, Cognition, and Neuroscience (BCaN) at American University, Washington DC, are currently invited through *December 1* for a Fall 2024 start. Prospective students may apply now at: https://www.american.edu/cas/neuroscience/phd/requirements.cfm (GRE optional), mentioning the name(s) of the specific faculty they are interested in working with within their statement of purpose. For inquiries about waiving the application fee, please contact the PhD program director at mark.laubach(a)american.edu (first generation college students, among others, are generally eligible for the waiver). The following *cognitive neuroscience* faculty are anticipating accepting a PhD student this cycle: *Dr. Laurie Bayet *directs the *Developmental Cognitive Neuroscience lab*, which focuses on infant cognitive and visual development. The lab combines neuroimaging (EEG, fNIRS), eye-tracking, behavioral methods, and computational (e.g., machine learning) tools to uncover how infants and young children learn to interpret complex visual objects, such as those that are relevant to affective, social communication. Current areas of focus include (1) the early development of high-level visual representations, in comparison to computational models of vision; and (2) social and affective communication understanding in typical-risk and elevated-risk infants. Prior experience with either developmental/neuroimaging research or programming/ machine learning (we use Python, Matlab, and/or R) is strongly preferred but not strictly required, as training will be provided. The lab is currently funded by the National Science Foundation, a NARSAD Young Investigator Award from the Brain & Behavior Research Foundation, a Toffler Scholar Award from the Karen Toffler Charitable Trust, and American University. Our work involves local, domestic, and international collaborations, and has been recognized by a Rising Star award from the Association for Psychological Science and a Distinguished Early Career Contribution Award from the International Congress of Infant Studies. Learn more: https://www.bayetlab.com/ *Dr. Emily Grossnickle Peterson* directs the *Educational Neuroscience Lab*. The Ed Neuro Lab investigates the thinking and reasoning skills that impact learning science and mathematics, and examines the role of motivations such as interest and curiosity. We are especially interested in understanding curiosity and visual-spatial reasoning in science. At the heart of our work is a desire to reduce disparities among individuals typically under-represented in STEM (science, technology, engineering, and mathematics) fields by conducting research that contributes to a deeper understanding of how students engage with science and mathematics. We conduct research at the intersection of cognitive neuroscience and educational settings, and we apply methods from psychology, neuroscience, and education to study learning in the laboratory and in K-12 schools. Research in the lab is supported by grants from the National Science Foundation and the National Academy of Education. Learn more: https://edspace.american.edu/edneurolab/ *Dr. Bei Xiao* directs the *Computational Perception lab*, which focuses on human vision, computer vision and computational modeling of perception. The main topic of this PhD is to understand neural representation of objects and materials. Specifically, we study how humans estimate object properties and plan interactions in an immersive multimodal environment using generative AI, Human Psychophysics, EEG and functional brain imaging methods. We use a combination of psychophysics, deep learning, generative AI, VR/AR, computer graphics, EEG/MEG methods. The candidate will receive hands-on training in one or several of these areas. Besides this topic, we also study the visual development of material and object perception in infancy and early childhood through a collaboration with Laurie Bayet in the Department of Neuroscience using behavioral and EEG methods. In addition, Xiao lab also studies computer vision and collaborates with researchers at Virginia Tech, NIH/NEI, George Mason University, University of Giessen, and the University of Tokyo. These collaborations allow the candidate the opportunity to work on a variety of related topics. To learn more about the Xiao lab: https://sites.google.com/site/beixiao/ The BCaN PhD program is hosted by the Center for Neuroscience and Behavior ( https://www.american.edu/cas/center-neuroscience) at American University, which involves more than 20 faculty conducting research on the mind and brain across multiple departments including Neuroscience, Psychology, Computer Science, Biology, and the School of Education. The program provides 4 years of guaranteed funding including a TA-ship, with additional funding based on other sources (such as faculty grant support). American University provides a stimulating intellectual environment, just 2 miles from downtown Washington DC. DC offers a vibrant research community, and American University enjoys proximity to other notable research institutions. With extensive public transit, an exciting cultural and restaurant scene, many museums and public parks, and proximity to other green spaces in the surrounding region (e.g., Appalachian trail, Shenandoah National Park), Washington DC consistently ranks amongst the top US metropolitan areas for quality of life. (Apologies for cross-posting) All the best, Laurie -- Laurie Bayet, PhD Assistant Professor of Neuroscience, American University (202) 885-1719 bayet(a)american.edu https://www.bayetlab.com/

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Postdoctoral Position in imaging analysis (cerebellar development)
by Jorn Diedrichsen 15 Nov '23

15 Nov '23

We are looking to recruit a new postdoctoral associate for a large collaborative project on the anatomical development of the human cerebellum. The overall goal of the project is to develop a high-resolution normative model of human cerebellar development across the entire life span. The successful candidate will join the Diedrichsen Lab<http://www.diedrichsenlab.org/> (Western University, Canada) and will work with a team of colleagues at Erasmus Medical Center, the Donders Institute (Netherlands), McGill, Dalhousie, Sick Kids, and UBC (Canada). A PhD degree in Neuroscience, Statistics, Computer Science, Engineering, Psychology, Medicine or related fields is required. Expertise in machine learning, analysis of medical imaging data, and/or normative modeling is highly desired. The project is funded for a 3 year duration, with the initial contract for 2 years. The exact starting date is negotiable, but would ideally be April 1st, 2024. For more information and application instructions, please see the full ad on our website<https://www.diedrichsenlab.org/open_postdoc_raynor.htm>. Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistical and Actuarial Sciences Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca>

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COSYNE 2024: Abstract submission closes soon; Cosyne Mentoring Forum is available
by Tomas Hromadka 14 Nov '23

14 Nov '23

==================================================== Computational and Systems Neuroscience 2024 (Cosyne) MAIN MEETING 29 February - 03 March 2024 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2024 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open. Abstract submission deadline: 19 November 2023 11:59pm PST ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- 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 19 November 2023. 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. 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. ----------------------------------------------------- COSYNE MENTORING FORUM ----------------------------------------------------- Cosyne Mentoring Forum provides a platform for discussions among Cosyne participants, particularly for help with composing abstracts for the meeting and getting feedback before submission. The forum is intended to be a place to connect with other computational and systems neuroscientists and help (especially but not limited to women, people of color, people from less-privileged labs/countries/backgrounds, and other underrepresented groups). Forum members are encouraged to share advice on everything from writing a great Cosyne abstract to navigating a job search. See Cosyne.org->About->Mailing lists for details on how to subscribe and post to the forum. Mentors, we need your expertise! If you can provide feedback on up to two Cosyne abstracts, kindly sign up by 15 November using this link: https://forms.gle/SpsLkkmku2d5mCE38 Mentees, to receive feedback that could enhance your Cosyne abstract, please sign up by the evening of 15 November at the same link: https://forms.gle/SpsLkkmku2d5mCE38 ----------------------------------------------------- COSYNE 2024 COMMITTEES ----------------------------------------------------- COSYNE ORGANIZING COMMITTEE General Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Program Chairs: Bing Brunton (U Washington) and Chandramouli Chandrasekaran (Boston U) Workshop Chairs: SueYeon Chung (NYU/Flatiron) and Andrew Saxe (Oxford) Tutorial Chair: Il Memming Park (Champalimaud) Undergraduate Travel Chairs: Kimberly Stachenfeld (DeepMind) and Marcelo Mattar (NYU) DEIA Committee: Hysell Oviedo (Washington U) and Luke Sjulson (Albert Einstein) Fundraising Chair: Michael Long (NYU) Social Media Chair: Sabera Talukder (Caltech) Audio-Video Media Chair: Carlos Stein Brito (Champalimaud) Poster Design: Maja Bialon COSYNE PROGRAM COMMITTEE Bing Brunton (U Washington) Co-chair Chandramouli Chandrasekaran (Boston U) Co-chair Yashar Ahmadian (UCL) Athena Akrami (UCL) Timothy Buschman (Princeton) Alex Cayco Gajic (Ecole Normale Superieure) Hannah Choi (Gatech) Brian DePasquale (Boston U) Sridhar Devarajan (Indian Inst Sci) Laura Driscoll (Stanford) Ann Duan (UCL) Lea Duncker (Stanford) Annegret Falkner (Princeton) Rainer Friedrich (Friedrich Miescher Institute) Juan Gallego (Imperial) Matthew Golub (U Washington) Bilal Haider (Georgia Tech) Kiah Hardcastle (Harvard) Kameron Harris (W Washington U) Santiago Jaramillo (U Oregon) Jonathan Kao (UCLA) Kohitij Kar (York U) Ann Kennedy (Northwestern) Guillaume Lajoie (MILA) Laura Lewis (MIT) Camilo Libedinsky (National U Singapore) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Emily Mackevicius (Basis) Jorge Mejias (U Amsterdam) Leenoy Meshulam (U Washington) Jonathan Michaels (York U) James Murray (U Oregon) Hendrikje Nienborg (NIH) Gouki Okazawa (Chinese Acad Sci) Marino Pagan (UCL) Chethan Pandarinath (Emory) Il Memming Park (Champalimaud) Hannah Payne (Columbia) Talmo Pereira (Salk) Supratim Ray (Indian Inst Sci) Erin Rich (Mount Sinai) Ben Scott (Boston U) Alireza Soltani (Dartmouth) Nicholas Steinmetz (U Washington) Carsen Stringer (HHMI) Marie Suver (Vanderbilt) Aparna Suvrathan (McGill) John Tuthill (U Washington) Ali Weber (Bryn Mawr) Brady Weissbourd (MIT) Alex Williams (NYU) Klaus Wimmer (CRM) Brad Wyble (Penn State) Dan Yamins (Stanford) COSYNE EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Anne-Marie Oswald (U Pittsburgh) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) COSYNE CONTACT meeting [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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Registration open for algorithmic innovation in AI and biotech day (MIT/Harvard/PillarVC; 27th November; Boston)
by Battleday, Ruairidh 14 Nov '23

14 Nov '23

We are thrilled to announce a day of talks on algorithmic innovation and entrepreneurship (Boston, 27th Nov). TLDR: This will feature speakers from MIT and Harvard talking about the design and application of algorithms for innovation, discovery, and design in their research: www.algopreneurship.org We will be hosting leading researchers from MIT, Harvard, Oxford, Princeton, and Stanford, who will give a succession of short talks that spotlight how their algorithms are being used to generate innovations in AI research and biotech, including Professor George Church, one of the founders of synthetic biology, and Professor Mina Lukovic, who leads the Algorithmic Design Group at MIT. A group of industry leaders will attend and discuss these ideas in Q&A sessions, roundtable discussions, and panel events. These include faculty from MIT Sloan and Harvard Business School, as well as representatives from entrepreneurship, VCs, and larger tech, consultancy, and biomedical companies. The event will be open to the members of the AI and entrepreneurial communities, and recorded for future viewing. There will be a lunch and post-expo reception. Registration is via the website above. Please let me know if you have any questions. All the best, Ruairidh Battleday -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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FINAL DEADLINE APPROACHING - Tenure-track positions in AI in Complex Networks and Brain Dynamics
by Jaroslav Hlinka 14 Nov '23

14 Nov '23

Tenure Track Research Position - Artificial Intelligence in Complex Networks and Brain Dynamics The Institute of Computer Sciences of the Czech Academy of Sciences (ICS CAS), Prague, Czech Republic, invites applications for a tenure‐track position in Artificial Intelligence and Computer Science in broadest sense. The Complex Networks and Brain Dynamics group (http://cobra.cs.cas.cz/) invites applicants with interest to develop research agenda at the border of AI & neuroscience or AI & complex systems. /Note the parallel call open to other, non-AI subfields of Computer Science and related fields, covering also combinatorics and graph theory, complex dynamic systems, computational complexity, computational logic, mathematical logic, philosophical logic, data mining, neuroinformatics, neuroimaging, computational neuroscience, statistics./ *For informal inquiries write to Jaroslav Hlinka at hlinka(a)cs.cas.cz.* *We offer* a full-time position, which includes the following benefits: * Freedom and support to develop an independent research program. * Flexible working conditions, including the option to work part-time. * Initial salary matching the local price level (monthly gross salary 48-66 thousand CZK based on qualifications and experience - approximately 38-52 thousand CZK net salary), see the Cost Of Living in Prague. <http://www.numbeo.com/cost-of-living/comparison.jsp> * Additional bonuses based on research performance. * Additional bonuses based on successful grant applications up to 25%. * Career progression based on regular evaluations. * Five weeks of paid vacation on top of public holidays. * Child care facilities in the institute’s building. * Highly attractive and safe location (Prague). * Travel package for the total duration: up to 50 000 CZK for conferences and research stays. * Relocation package for fellow coming from abroad: 10 000 CZK plus 10 000 CZK for family (spouse and/or children). *We encourage you to apply, if you:* * hold a Ph.D. degree in a related field, * have an excellent research record relative to your career stage, and * show the potential to build an independent research group and acquire research funding. *Conditions of contract* You will be appointed for up to 3 years initially and your performance will be evaluated towards the end of this period. In case of a positive review, you will be eligible for an extension or a tenured appointment. Your involvement in graduate teaching programs and supervising graduate students will not be mandatory, yet welcomed by the Institute. *To apply,* submit your application to jobs(a)cs.cas.cz, including the following: * a cover letter in which you describe your motivation and qualifications for the position, * a curriculum vitae, including a list of publications and a description of the three most important research achievements, * a description of your scientific interest and plans, including potential collaborations within and outside of the institute. You may informally contact hlinka(a)cs.cas.cz for consulting the outline. * 3 letters of recommendation sent directly to ics(a)cs.cas.cz by the referees. /*The closing date for application is 20th November 2023.*//**//**/*Expected starting date upon agreement.* -- Jaroslav Hlinka Head of the Department of Complex Systems Institute of Computer Science Czech Academy of Sciences Pod Vodarenskou vezi 2 Prague 8, 182 00, Czech Republic Tel: (+420) 26605 3808 E-mail: hlinka(a)cs.cas.cz Web: http://www.cs.cas.cz/hlinka/ Complex Networks and Brain Dynamics Group (COBRA): http://cobra.cs.cas.cz

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Multiple tenure track faculty jobs at University of Oregon
by Luca Mazzucato 14 Nov '23

14 Nov '23

The University of Oregon is seeking candidates for multiple tenure-track faculty positions at the Assistant Professor level in data science, statistics, and applied math—one in the Math department and two in UO's new Data Science Department. We encourage applications from candidates working in Computational Neuroscience and Artificial Intelligence as well as other data science-related fields, and we particularly welcome applications from candidates from underrepresented backgrounds. UO's vibrant neuroscience community includes our Institute of Neuroscience <https://ion.uoregon.edu/>, the NeuroAI Center <https://ion.uoregon.edu/neuroai>, and the International Network for Bio-Inspired Computing <https://urldefense.com/v3/__https://www.in-bic.org/__;!!C5qS4YX3!EH7D1JvIbA…>. Please circulate the two job advertisements below to any potential applicants at your institution who may be interested. -- *Assistant Professor of Mathematics* https://www.mathjobs.org/jobs/list/22919 <https://urldefense.com/v3/__https://www.mathjobs.org/jobs/list/22919__;!!C5…> The University of Oregon’s Mathematics Department invites applications for a tenure-track Assistant Professor position, to begin in fall 2024. Successful candidates will be working at the interface of mathematics with statistical inference, machine learning, and/or related areas of data science. They will have a record of research excellence, potential for excellent teaching, and a commitment to promoting an inclusive community. While this position will be in the Mathematics Department, we value the ability to interact with other units on campus, including (but not limited to) the School of Computer and Data Sciences, the Department of Biology, the Institute of Neuroscience, and the Knight Campus for Accelerating Academic Impact. We welcome applicants with a wide range of academic backgrounds. Questions about this search can be directed to James Murray (jmurray9 at uoregon dot edu). -- *Assistant Professor of Data Science* https://academicjobsonline.org/ajo/jobs/25568 <https://urldefense.com/v3/__https://academicjobsonline.org/ajo/jobs/25568__…> We enthusiastically invite multiple interdisciplinary researchers to join our newly established Department of Data Science as tenure-track faculty colleagues. We invite applications from researchers working in Data Science, broadly defined, including those working in other domains who contribute to data analysis methodology for that domain (e.g., methods and/or applications of artificial intelligence, machine learning, statistical inference, computational/applied mathematics, data visualization, etc) as well as those whose research focuses directly on the methodology itself (e.g., computer science or statistics). We are building the Data Science department to center justice, diversity, equity, and inclusion (JDEI), in our department's research, teaching, and organization. Strong faculty candidates will therefore have demonstrated impactful contributions to JDEI. We encourage applications from candidates with a history of collaboration with domain experts. Questions about this search can be directed to Luca Mazzucato (lmazzuca at uoregon dot edu).

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open postdoc position on fair machine learning in neuroscience (Marseille, France)
by Sylvain Takerkart 13 Nov '23

13 Nov '23

Please find using the following look the job description for an 18-months postdoctoral contract dedicated to design innovative machine learning models aimed at being in fair in the domain of large neuroimaging data sets: https://amubox.univ-amu.fr/s/g7dS4mFbg8qCeXo -- Sylvain Takerkart Institut des Neurosciences de la Timone (INT) UMR 7289 CNRS-AMU Marseille, France

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