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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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