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Multiple postdoc positions in Computational Neuroscience and neural data analysis
by Arvind Kumar March 31, 2021

March 31, 2021

Join us in our endeavour to create a theoretical framework to understand (and hopefully treat) neurodegenerative brain diseases. Upto 5 postdoctoral positions are available at KTH Royal Institute of Technology, Stockholm, Sweden - for building multi-scale models to capture relationship between brain's structure and activity dynamics - to analyse brain connectivity and activity data using topological data analysis - To develop machine learning algos to extract the brain's anatomical connectivity from MRI images. The postdoctoral researchers will become part of an interdisciplinary community of neuroscientists, clinicians, mathematicians and brain imaging experts at KTH and Karolinska Institute Stockholm. These positions are a part of the new interdisciplinary initiative dBRAIN <https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/> within the ‘Digital Futures <https://www.digitalfutures.kth.se/research/collaborative-projects>’ initiative at KTH Royal Institute of Technology, Stockholm. The goal is to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine computational modeling, machine learning and topological data analysis to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies. Contact: Contact the relevant PIs whose names and email addresses are available at dBRAIN <https://www.digitalfutures.kth.se/research/current-research-projects/dbrain/> website. -- Dr. Arvind Kumar Computational Brain Science, Div. of Computational Science and Technology, KTH Royal Institute of Technology, Stockholm Lindstedtsvägen 5. Room#4439 114 28 Stockholm, Sweden. Ph. No. +46-8790-6224 Web: https://www.kth.se/profile/arvindku/ https://arvkumar.github.io/ cricket blog: http://rightarmoverfast.blogspot.com -------- न यः संपृच्छे न पुनर्हवीतवे न संवादाय रमते । तस्मान्नो अद्य समृतेरुरुष्यतं बाहुभ्यां न उरुष्यतम् ॥ ऋग्वेदः मण्डलं - ८. He who has no pleasure in questioning, nor in debate, nor in dialogue, Defend us to-day from him and from his encounter, defend us from his arms.

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Special Issue “Industrial Big Data and Process Modelling for Smart Manufacturing
by Barna Iantovics March 30, 2021

March 30, 2021

Dear Colleague, The Open Access journal Mathematics (ISSN2227-7390; IF 1.747) is currently running a Special Issue “IndustrialBig Data and Process Modelling for Smart Manufacturing”: https://www.mdpi.com/journal/mathematics/special_issues/Industrial_Big_Data… We (Prof. Hatem Ghorbel, University of Applied Sciences and ArtsWestern Switzerland; Prof. Stefano Carrino, University of Applied Sciences andArts Western Switzerland; Dr. Ivana Budinská, Institute of Informatics SlovakAcademy of Sciences, Slovakia; Prof. Vicente Rodríguez Montequín, University ofOviedo, Spain) are serving as its Guest Editor. All of us are currently takingpart of one of the CHIST-ERA projects funded underthe Big data and process modelling for smart industry (BDSI) call.The topics included in the special issue are aligned with this call, as well asother calls like Object recognition and manipulation by robots: Datasharing and experiment reproducibility (ORMR). We cordially invite you to submit one feature paper to the SpecialIssue. It could be a full review or an original research article. We will behonored if you are able to participate. The submission deadline is 31 October 2021. You maysubmit your manuscript now or up until the deadline. If you plan to submit, ifpossible, we expect to receive your tentative title and submission date. Adiscount over the article processing charge may be considered according to therelevance of the paper and submission date. Don’t hesitate to contact me forfurther details. Yours faithfully, Prof. Hatem Ghorbel University of Applied Sciences and Arts Western Switzerland Social Network of Machines (SOON) Project Coordinator Project funded under the CHIST-ERA BDSI call

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PhD in computational neuroscience
by Eirini Mavritsaki March 30, 2021

March 30, 2021

Dear colleagues, Please find below a PhD opportunity in our lab. Best wishes, Eirini Title: An EEG and computational modelling investigation into cultural differences in visual perceptual learning Supervisory Team: Professor Eirini Mavritsaki, Dr Panagiotis Rentzelas, Professor Maxine Lintern, Professor Zoe Kourtzi (University of Cambridge), Stephanie Chua Visual perceptual learning (VPL) refers to the acquisition of visual skills through training which improves our ability to detect useful information in cluttered scenes. Individualism and independence in Western cultures have been associated with differential processing and attentional styles. This research will be based on understanding cross-cultural differences on VPL using EEG and computational modelling work. The ideal applicant should have a good first degree in Psychology/Computer Science. Previous experience in conducting neuropsychological experiments and/or computational modelling work will be highly desirable. Link: https://www.bcu.ac.uk/social-sciences/research/phd_opportunities Contact information: Prof. Eirini Mavritsaki Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk> 0121 3316361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Prof. Eirini Mavritsaki, Ph.D., CPsychol , SFHEA Professor of Cognitive Psychology Director of Research and Enterprise for the School of Social Sciences Director of Postgraduate Research Studies for the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 Please use the link below if you want to book a meeting with me https://calendly.com/eirini-mavritsaki ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Two Lectureships at the University of St Andrews
by Tom Otto March 29, 2021

March 29, 2021

Dear Colleagues, The School of Psychology and Neuroscience at St Andrews is offering two lectureships with one position in Neuroeconomics/Decision Making and the other in Behavioural Neuroscience (please see links to the adverts below). Closing Date: 23 April 2021 All the best, Tom https://www.vacancies.st-andrews.ac.uk/Vacancies/W/3505/0/293925/889/lectur… https://www.vacancies.st-andrews.ac.uk/Vacancies/W/3193/0/293921/889/lectur… -- Dr. Thomas Otto University of St Andrews School of Psychology and Neuroscience St Mary’s Quad, South Street, St Andrews, KY16 9JP, Scotland Phone: +44 (0)1334 462091 http://lclab.wp.st-andrews.ac.uk/

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AMAM2021 (Adaptive Motion of Animals and Machines) Call for Abstracts
by Auke Ijspeert March 28, 2021

March 28, 2021

*AMAM 2021 Call for Abstracts* The International Symposium on Adaptive Motion of Animals and Machines (AMAM, http://adaptivemotion.org/ <http://adaptivemotion.org/>) is dedicated to stimulate fruitful interactions among biologists and engineers interested in adaptive motion. It aims at bringing together researchers in robotics, biomechanics, neuroscience, sports science, and other fields related to behavior in biological and artificial systems. This year AMAM is holding a virtual, asynchronous conference to highlight work done by early career researchers. The meeting will consist of an online poster session with access to asynchronous chats, a pre-recorded audio or video poster presentation, and synchronous virtual meeting times scheduled by each participant to encourage live conversation and connection across time zones. In addition there will be the traditional hardware demonstration (the Robot Zoo) in a non-traditional promotional video format. The meeting will be held June 22^nd – 25^th . Abstract deadline will be April 1^st 2021. More information can be found at https://amam2021.squarespace.com/ <https://amam2021.squarespace.com/> and will be updated regularly. Please use the contact tab on the webpage if you have any questions at all.

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Postdoc position in computational neuroscience at Georgia Tech
by Choi, Hannah March 28, 2021

March 28, 2021

Dear all, A postdoctoral researcher position is available in Hannah Choi's group in the School of Mathematics at Georgia Tech. We are a new computational neuroscience group studying the link between structure, dynamics, and computation in data-driven neural networks at multiple scales. We utilize various mathematical tools to probe how efficient neural computation emerges from the underlying network dynamics and architecture, in close collaboration with leading experimental groups. More information about the group is available at hannahchoi.math.gatech.edu. The ideal candidate should have a strong quantitative background, with a PhD in computational neuroscience, applied math, physics, computer science, or other related fields. Previous experience in neuroscience and/or machine learning is preferred but not required. The position would ideally start as soon as possible (Summer or Fall 2021). To apply, please send a CV, a research statement, and the contact information for three references to hannahch(a)gatech.edu<mailto:hannahch@gatech.edu> with the subject line "postdoc application". Applications will be reviewed on a rolling basis until the position is filled. Georgia Tech's campus is in the heart of midtown Atlanta, which has a thriving and collaborative computational neuroscience community spanning multiple institutions and departments. Georgia Tech is an equal education/employment opportunity institution dedicated to building a diverse community, priding itself on its technology resources, collaborations, high-quality student body, and its commitment to diversity, equity, and inclusion. Best, Hannah ************************ Hannah Choi, Ph.D. Assistant Professor School of Mathematics Georgia Institute of Technology

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Paid internships in computational neuroscience
by Salvador Dura March 27, 2021

March 27, 2021

Two paid internships position in computational neuroscience are available in the Dura-Bernal Lab <http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences University. Students will have the opportunity to gain research experience and learn cutting edge methods in computational neuroscience: large-scale modeling of neuronal cortical circuits to study brain function and disease; machine learning applied to neuroscience; development of neuroscience software tools. For more details see Research<http://dura-bernal.org/research> and Current Collaborations<http://www.dura-bernal.org/people#collaborators>. For details please see: http://dura-bernal.org/internships. -- Salvador Durá-Bernal, Ph.D. Assistant Professor, State University of New York Downstate Medical Center Research Scientist IV, Nathan Kline Institute for Psychiatric Research Lab web: dura-bernal.org<http://dura-bernal.org/>

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CFP 30th International Conference on Artificial Neural Networks ICANN 2021, Sept 14-17, ONLINE, Deadline extension
by Paolo Masulli ENNS March 26, 2021

March 26, 2021

30th International Conference on Artificial Neural Networks ICANN 2021 https://e-nns.org/icann2021 *ONLINE EVENT* 14 - 17 September 2021 *Deadline extended to April 15, 2021* ============================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2021 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 30th ICANN Conference from the 14th to the 17th of September 2021. *Online event:* Due to the uncertainty regarding the re-opening of Europe during 2021, *ICANN is going fully online this year*. We will still have keynote talks, contributed talks and poster sessions, and nothing changes regarding the conference proceedings in Springer LNCS. * **CONFERENCE TOPICS* ICANN 2021 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and action. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2021 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications. *CALL FOR PAPERS* Authors willing to present original contributions in either oral or poster category may submit: - A full paper of maximum 12 pages (including references) to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of maximum 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be on the conference website: https://e-nns.org/icann2021/ *IMPORTANT DATES* Opening of contribution submissions: 15 Feb 2021 Deadline for full paper and extended abstract submission: 15 Apr 2021 Notification of acceptance: 25 May 2021 Camera-ready paper and registration opening: 15 June 2021 Deadline for early registration at discount rate: 30 June 2021 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards. *ORGANISATION* General Chairs: Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia) Ľubica Beňušková (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Kristína Malinovská (FMPI, Comenius University in Bratislava, Slovakia) Sebastian Otte (University of Tübingen, Germany) Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS)

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Research Associate Position at Cardiff University Brain Research Imaging Centre
by Jiaxiang ZHANG March 25, 2021

March 25, 2021

[Apologize for cross-posting] Dear all, We are seeking an enthusiastic early-career scientist for a research associate position at Cardiff University Brain Research Imaging Centre (CUBRIC). The successful candidate will join a collaborative and multidisciplinary research team to work on the neurocognitive mechanisms of human decision-making, integrating multimodal brain imaging (MEG, functional MRI and diffusion MRI) and computational modelling. The post holder will develop computational models that describe data from behavioural and brain imaging experiments, in particular to take a lead role in integrating large-scale computational simulations with imaging results from multiple modalities. The research aims to understand the computational and neurocognitive processes of human decision-making, and how decision deficits may arise due to brain injury or neurodegeneration. The research associate will also be expected to collaborate with other researchers in the team on imaging data analyses and data curation. You will have access to imaging facilities at CUBRIC and several multimodal imaging datasets. Cardiff University Brain Research Imaging Centre (CUBRIC) houses a unique combination of state-of-the-art facilities and world-leading expertise, with 4 human MRI systems (2 x Siemens Prisma, 1 x Siemens Connectom, 1 x Siemens 7T), MEG, EEG, TMS, tDCS, clinical research units and testing labs. Further details of CUBRIC can be found on our webpage (http://sites.cardiff.ac.uk/cubric) This is a full-time, fixed-term position until February 2023, available to start now. Remote working is possible if COVID-19 restrictions are in place. For informal enquiries, please contact Dr Jiaxiang Zhang ( zhangj73(a)cardiff.ac.uk) A formal application needs to be submitted via the link online ( https://www.jobs.ac.uk/job/CEQ831/research-associate) *Application deadline: April 6th, 2021.* *Essential Criteria* 1. A PhD degree in a relevant discipline (e.g., mathematics, computer science, engineering, physics or psychology) 2. Research experience or a strong interest in human decision-making 3. Strong experience in computational models of cognitive processes and/or macroscopic neural systems, including the use of neural mass models or neural field models 4. Experience of analysing brain imaging data in one or more modalities (e.g., diffusion MRI, BOLD functional MRI, MEG/EEG), using common software packages 5. Strong programming skills (e.g., Matlab, Python, C/C++ or R) 6. Experience with Unix/Linux environment for data analysis, including bash scripting and parallel computing on high-performance clusters 7. Proven ability to publish high-quality research in peer-reviewed academic journals 8. Knowledge of software development cycles and best programming practices, including coding standards, version control administration, debug and code sharing, with strong commitments to open science practices 9. Excellent written and verbal communication skills, evidenced by publications and/or conference presentations 10. Strong interpersonal skills, including proven ability to work cooperatively within a team while also being able to take the initiative *Desirable Criteria * 1. Experience of brain functional and structural connectivity analyses 2. Experience in statistical methods (e.g., GLM, mixed models, multivariate statistics, hierarchical models and Bayesian statistics) and/or machine learning methods 3. Experience in deep learning models of imaging processing --- Dr. Jiaxiang Zhang Cardiff University Brain Research Imaging Centre (CUBRIC) School of Psychology Cardiff University Maindy Road, Cardiff, CF24 4HQ https://ccbrain.org

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INCF Assembly 2021: abstract submission closes March 31!
by Helena Ledmyr March 25, 2021

March 25, 2021

Join us virtually for the 2021 INCF Assembly on April 19-27, with an exciting program <https://neuroinformatics.incf.org/2021/program> covering different aspects of FAIR neuroscience! Abstract submission <https://neuroinformatics.incf.org/abstract-submission> is open until March 31, and registration <https://neuroinformatics.incf.org/2021/registration> is now open . Members of INCF enjoy heavily discounted registration fees, which are already lowered due to the meeting being virtual this year. You can sign up for membership and see the other benefits here <https://www.incf.org/join-incf/individuals> - one year costs 20 USD for students and postdocs, and 50 USD for regular members. The INCF Assembly 2021 aims to provide the neuroscience community with approaches that can be used today to implement the FAIR principles in their research. It also aims to provide tool developers and infrastructure providers with an opportunity to interact with the user community and to interact with other practitioners to advance the field of neuroinformatics. The 2021 INCF Assembly will address topics around FAIR neuroscience such as: - FAIR approaches for neuroscience in general, neuroimaging, electrophysiology, and computational neuroscience - Electrophysiology and computational neuroscience - Data science - Showcase of tools and infrastructures - Open innovation and intellectual property - Information about ongoing work in INCF councils and committees - Funders and publishers roundtable - Workshops on developing standards and a roadmap for FAIR neuroscience The INCF Assembly is the only international meeting that focuses on providing researchers with hands-on training experiences and enabling interaction with software developers and infrastructure providers. We hope to see you online in April! ----------------------------- Helena Ledmyr, PhD *Director* *Development and Communications* International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden Email: helena.ledmyr(a)incf.org Phone: +46 8 524 870 35 incf.org neuroinformatics.incf.org

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