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Faculty positions at Washington University in St Louis
by Geoffrey Goodhill Sept. 19, 2022

Sept. 19, 2022

Assistant Professor positions in Theoretical/Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking tenure-track investigators at the level of Assistant Professor to develop innovative research programs in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering or computer science, or any related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University. We are particularly interested in researchers who are both creative and collaborative. The Department of Neuroscience has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. Washington University is an Equal Opportunity Employer. Our Department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. We are dedicated to advancing diversity and inclusion, core values shared by the School of Medicine and the entire university. Facilitated by the Department of Neuroscience liaison to the Office of Diversity, Equity and Inclusion at the Washington University School of Medicine, we are enabling initiatives that promote diversity and ensure that the department continues to be a welcoming place for everyone. For application instructions please see https://neuroscience.wustl.edu/assistant-professor-theoretical-computationa… Professor Geoffrey J Goodhill Departments of Neuroscience, Developmental Biology, Biomedical Engineering, and Electrical and Systems Engineering Washington University in St Louis St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque Sept. 19, 2022

Sept. 19, 2022

*Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo (USP), Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering two post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (São Paulo or Ribeirão Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below: 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Development of neurostimulation protocols. Candidates to the first research line are required to have a strong background in probability theory with an emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. Candidates to the third research line are required to have a solid background in biomedical instrumentation or medical physics with previous experience in transcranial magnetic stimulation, neuronavigation and knowledge of robotics and computer programming. The initial appointment is for one year, with a possible extension to up to one year, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the three aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until October 31, 2022. Appointment is expected to start by December 1st, 2022. The initial period of the position lasts for 12 months, with possible renewals for up to one year. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of R$8.479,20 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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Job: ML Engineer to extend ReservoirPy library for health data (Reservoir Computing)
by Xavier Hinaut Sept. 19, 2022

Sept. 19, 2022

We are looking for an engineer for at least one year to work with the open source ReservoirPy library on health data. You will be working in Bordeaux, France in the Mnemosyne computational neuroscience group https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> in collaboration with other Bordeaux teams involved in biostatistics and machine learning. More info and online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> * ReservoirPy ReservoirPy [1, 2, 3] is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) [5] architectures with a particular focus on Echo State Networks (ESN) [4]. Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. Github: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy> Documentation: https://reservoirpy.readthedocs.io <https://reservoirpy.readthedocs.io/> Related projects: https://github.com/reservoirpy <https://github.com/reservoirpy> Twitter: https://twitter.com/reservoirpy <https://twitter.com/reservoirpy> * Deadline: 20th of September 2022 For informal questions send an email to xavier dot hinaut at inria dot fr. Online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> * Contract Engineer contract of 1 year, with possibility to extend the contract to more years or to continue in the team as PhD student. * Benefits package - Subsidized meals - Partial reimbursement of public transport costs - Possibility of partial teleworking and flexible organization of working hours - Professional equipment available (videoconferencing, loan of computer equipment, etc.) - Social, cultural and sports events and activities - Access to vocational training - Social security coverage [1] Trouvain N, Pedrelli L, Dinh TT, Hinaut X (2020). Reservoirpy: an efficient and user-friendly library to design echo state networks. International Conference on Artificial Neural Networks, 494-505. https://hal.inria.fr/hal-02595026v2/document <https://hal.inria.fr/hal-02595026v2/document> [2] Trouvain, N., Rougier, N. P., & Hinaut, X. (2022). Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022). https://hal.inria.fr/hal-03761440/document <https://hal.inria.fr/hal-03761440/document> [3] Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. HAL preprint hal-03699931. https://hal.inria.fr/hal-03699931/document <https://hal.inria.fr/hal-03699931/document> [4] Jaeger, H., & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. science, 304(5667), 78-80. [5] Lukoševičius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149. Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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SNUFA2022 online meeting reminder -- Spiking Neural Networks as Universal Function Approximators
by Friedemann Zenke Sept. 19, 2022

Sept. 19, 2022

Dear colleagues, We are happy to invite you to SNUFA2022 (https://snufa.net/2022/) your friendly online workshop on spiking neural networks and anything that spikes to compute. The focused workshop takes place on November 9-10, 2022. As usual, it covers topics from comp neuro to neuromorphic engineering and will fill two European afternoons. It comprises four invited talks, eight contributed talks, and a virtual poster session. Registration is free but mandatory. Invited speakers: Charlotte Frenkel (TU Delft), Priya Panda (Yale), Yiota Poirazi (Institute of Molecular Biology and Biotechnology IMBB), Yonghong Tian (Peking University) Abstract submission deadline: Sept 28th. For more details, registration, and submissions, see https://snufa.net/2022/ We are looking forward to seeing you there! On behalf of the organizing committee, Katie Schuman, Timothée Masquelier, Dan Goodman, and Friedemann Zenke -- zenkelab.org

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Postdoctoral position in Computational Neuroscience of Social Decision-Making
by Igor Kagan Sept. 19, 2022

Sept. 19, 2022

A postdoctoral position is immediately available in the Social Neuroscience Team, Cognitive Neuroscience Laboratory, German Primate Center, in Goettingen, Germany (www.dpz.eu/cnl) The project is a collaboration between groups of Alex Gail, Igor Kagan and Stefan Treue (German Primate Center) and Fred Wolf (Bernstein Center for Computational Neuroscience and Campus Institute Dynamics of Biological Networks, www.uni-goettingen.de/en/58058.html) The focus of the research is on innovative game theoretical approaches, computational modeling and analysis of behavioral and neurophysiological signals underlying interactive social decision-making in humans and nonhuman primates (e.g. Unakafov et al. 2020, PLoS Comp Biol, https://doi.org/10.1371/journal.pcbi.1007588; and Moeller et al. https://www.biorxiv.org/content/10.1101/2020.03.13.983551v3) The postdoctoral scientist will collaborate closely with the experimentalists, who work on elucidating the neural basis supporting primate interactions in dynamic sensorimotor settings. Further scientific exchange within the Leibniz ScienceCampus Primate Cognition (www.primate-cognition.eu) and the recently established Collaborative Research Center “Cognition of Interaction” (www.sfb1528.uni-goettingen.de) will ensure a broad interdisciplinary framework for networking and cooperation. Candidates with a Ph.D. in Computational or Systems Neuroscience, Physics, Mathematics, Data Science or Engineering, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges, are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in cognitive sciences or neuroscience, and a background in relevant modeling, social interactions, or analysis of behavioral or neurophysiological data are a plus. Please send applications (letter of interest, CV and the names and contact information of two referees), or request for additional information, to Igor Kagan (ikagan(a)dpz.eu) -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany http://www.dpz.eu/dag https://dpz-eu.zoom.us/j/5510619772?pwd=eE5YbXE3aGJzc2ErUWFMaTRmQkYxZz09

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Research Assistant Position in the Developmental Cognitive Neuroscience lab at American University, Washington DC
by Laurie Bayet Sept. 17, 2022

Sept. 17, 2022

*Research Assistant Position in the Developmental Cognitive Neuroscience lab at American University, Washington DC* The Developmental Cognitive Neuroscience Laboratory at American University in Washington DC, directed by Dr. Laurie Bayet (https://www.bayetlab.com/ <https://urldefense.com/v3/__https://www.bayetlab.com/__;!!IaT_gp1N!17_aaQrx…>), is currently accepting applications for a full-time, benefits-eligible Research Assistant position, to assist on a 3-year NSF-funded project investigating infant visual cognition using electro-encephalography (EEG) and machine learning (NSF award # 2122961 <https://urldefense.com/v3/__https://www.nsf.gov/awardsearch/showAward?AWD_I…>). The position is ideal for an individual seeking to deepen their research experience in preparation for graduate study. *Apply at https://careers.american.edu/job-invite/10603/ <https://careers.american.edu/job-invite/10603/> and include a CV, cover letter, and names and contact information of 2-3 references.* Review of applications will begin immediately and continue until the position is filled. Prospective applicants may email Dr. Bayet (bayet(a)american.edu) with any questions. *Recent lab publications most relevant to the project:* Ashton, K., Zinszer, B. D., Cichy, R. M., Nelson, C. A., Aslin, R. N., & Bayet, L. (2022). Time-resolved multivariate pattern analysis of infant EEG data: A practical tutorial. *Developmental cognitive neuroscience*, *54*, 101094. https://doi.org/10.1016/j.dcn.2022.101094 <https://urldefense.com/v3/__https://doi.org/10.1016/j.dcn.2022.101094__;!!I…> Bayet, L., Zinszer, B. D., Reilly, E., Cataldo, J. K., Pruitt, Z., Cichy, R. M., Nelson, C. A., & Aslin, R. N. (2020). Temporal dynamics of visual representations in the infant brain. *Developmental cognitive neuroscience* , *45*, 100860. https://doi.org/10.1016/j.dcn.2020.100860 <https://urldefense.com/v3/__https://doi.org/10.1016/j.dcn.2020.100860__;!!I…> *Essential Functions:* 1. *Data Management:* Assisting with data collection in adherence with study protocols, such as: informed consent, EEG and eye-tracking measurements, transferring research data files to the lab server. 2. *Participant Recruitment and Support:* Outreach, recruitment, and communication with families who participate in the research, such as: designing and implementing outreach/recruitment materials, assessing study eligibility, scheduling study visits, maintaining contact with participating families. 3. *Data Entry and Processing:* Conduct data entry, data pre-processing, video coding, and data management, in adherence with study protocols. 4. *Personnel: *Onboarding and supervision of undergraduate research assistants. 5. *Study General Support:* Assisting with designing and implementing experimental procedures, such as: creating and validating stimuli, surveys, or paradigms; monitoring materials and supplies. 6. *Compliance:* Develop and monitor IRB protocols for approval, modification, or renewal. 7. *Other duties as assigned by supervisor:* Opportunity to contribute to conference presentations and/or manuscript writing, if desired. *Required Education and Experience:* - High School diploma or equivalent. - KSA Statement. - Interest in developmental psychology, cognitive science, and/or neuroscience. - Excellent organizational and project management skills, including Initiative, self-motivation, rigor, attention to details, ability to work independently on multiple tasks, learn new skills in a fast-paced environment, and meet deadlines. - Excellent communication and interpersonal skills, including comfort interacting professionally with families, infants, and undergraduate students; ability to work effectively with people from diverse backgrounds. - Prior experience in developmental research (e.g., with infants/children) and/or human neuroimaging research (e.g., EEG, MEG, fNIRS) (strongly preferred, but not strictly required if has some other relevant research experience). - Flexibility to adapt to changing hours, such as the ability to run study visits with families during weekends, or occasionally during the evening. *Preferred Education and Experience:* - Bachelor's degree in Psychology or Neuroscience or closely related field. - Computational skills and programming experience in Matlab, R, and/or Python preferred, but not strictly required. - Relevant experience with neuroscience/psychology research tools (e.g., NetStation, Psychtoolbox, Datavyu, Lookit, EEGLAB), data analysis, data processing, manuscript preparation, and/or social media/website development a plus. - The intention to make a 2-to-3-years commitment is preferred. The position currently has funding through August 2025, contingent upon a 6-month probationary period and successful completion of duties. *Additional information:* The Developmental Cognitive Neuroscience Laboratory is part of the Neuroscience Department <https://www.american.edu/cas/neuroscience/> and the Center for Neuroscience and Behavior <https://www.american.edu/cas/center-neuroscience/> at American University. 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 such as the National Institutes of Health, Georgetown University, the University of Maryland, or Johns Hopkins University. 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. *Get to Know American University:* At American University we value open and honest inquiry, servant leadership, and the affirmation of the human dignity of all. We envision a thriving AU community where individuals of all identities and experiences are understood, appreciated, and fully included, and where equitable treatment, opportunities, and outcomes prevail. Our diverse community of students, faculty, and staff represent every state and more than 150 countries. Our internationally recognized faculty are today's thought leaders in the areas of public policy, law, the arts, communications, international development, and more. Our staff are innovative, service-oriented, and dedicated to moving the university towards achieving its strategic goals. We are committed to an excellent experience for all of our students, faculty and staff and share a passion for creating change through our knowledge and our work. Learn more about American University by clicking here <https://www.american.edu/about/au-at-a-glance.cfm>. *American University is an equal opportunity, affirmative action institution that operates in compliance with applicable laws and regulations. The university does not discriminate on the basis of race, color, national origin, religion, sex (including pregnancy), age, sexual orientation, disability, marital status, personal appearance, gender identity and expression, family responsibilities, political affiliation, source of income, veteran status, an individual’s genetic information or any other bases under federal or local laws (collectively "Protected Bases") in its programs and activities.* -- Laurie Bayet, PhD (hear name) <https://urldefense.com/v3/__https://namedrop.io/lauriebayet__;!!IaT_gp1N!17…> Assistant Professor of Neuroscience, American University (202) 885-1719

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3yr PhD / PostDoc position @ Ulm University
by Daniel Braun Sept. 17, 2022

Sept. 17, 2022

There is a fully funded Phd or PostDoc level position available at the Institute of Neural Information Processing at Ulm University, Germany. At the institute we use a diverse set of methods to study the information processing principles underlying intelligent behavior in cognitive systems, including both biological and artificial systems. In particular, we are interested in systems that learn in open-ended environments and that use abstraction to solve novel problems through generalization and meta-learning. The applicants should have a strong mathematical background, hold a degree in natural science, mathematics, economics, psychology, computer science, engineering or similar and have a keen interest in artificial and natural intelligence. The positions are paid according to German tariff TVöD E13. Ulm University with its more than 10,000 students is Baden-Württemberg’s youngest university. It offers attractive career prospects in a highly innovative research, teaching and work environment at the same time facilitating the reconciliation of work and family life. The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. Knowledge of German is advantageous. The position is available from DEC 1, 2022 and will be filled as soon as possible. Candidates should submit a CV and a brief statement of interest through the university's online application system: stellenangebote.uni-ulm.de/jobposting/9c710d04684a751fcf4470b61d881631da41ddba -- Prof. Dr. Dr. Daniel Alexander Braun Institute of Neural Information Processing Faculty of Engineering, Computer Science and Psychology Ulm University James-Franck-Ring D-89081 Ulm Germany phone: +49 (0)731 50 - 24150 <%2B49%20%280%29731%2050%20-%2024158> fax: +49 (0)731 50 - 24156 email: daniel.braun(a)uni-ulm.de

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Tenure-track opening in Computational Social Science at UCLA
by Anne Warlaumont Sept. 16, 2022

Sept. 16, 2022

Dear Colleagues, The University of California, Los Angeles (UCLA) Department of Communication invites applications for a tenure track appointment at the level of Assistant Professor with an emphasis on developing and/or applying computational social science methods to study communication. Potential areas of research include (but are by no means limited to) agent-based or other computational modeling, network science, machine learning, artificial intelligence, natural language processing, analysis of large audio and/or video datasets, gathering and analysis of digital trace data, and the use of virtual lab or field experiments. Interested candidates should view full posting and submit application materials via *UC Recruit here >>* <https://recruit.apo.ucla.edu/apply/JPF07843> Best regards, Anne

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General attendance open for Mathematics of Neuroscience Conference, Sept 24-25th 2022
by Ruairidh McLennan Battleday Sept. 14, 2022

Sept. 14, 2022

Dear all, We now have a full schedule at this year's mathematics of neuroscience conference, in just under ten days (24-25th September, 2022), and have opened registration for virtual attendance: www.neuromonster.org We have tried to make the cost as low as possible, in the hope that everyone that wants to can come. It's a great line up, and we hope to see you there! All the best, Dr Ruairidh M. Battleday and Professor Dan V. Nicolau Jr

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Computational neuroscience - PhD/Postdoc - Cheng Lab, Bochum
by Vinita Samarasinghe Sept. 12, 2022

Sept. 12, 2022

We (Cheng Lab <https://www.ini.rub.de/research/groups/computational_neuroscience/>, Ruhr University Bochum <https://rub.de/>, Germany) are looking to fill two positions in the area of computational neuroscience each for 3 years. _*Positions*_ 1. Postdoc: Join the team on project F01 <https://sfb1280.ruhr-uni-bochum.de/en/research/projects/f01/> of the Collaborative Research Center “Extinction Learning” SFB 1280 <https://sfb1280.ruhr-uni-bochum.de/en/home/> to: * analyze learning dynamics in behavioral, neural, and psychophysiological data, which will be collected by other projects within the SFB 1280. * compare the learning dynamics between individuals, species, learning phases and learning paradigms, * develop algorithms to analyze the learning dynamics, * develop and study computational models of learning dynamics, and * coordinate research with other participating projects. 2. PhD student or Postdoc: Develop and study computational models of episodic memory and spatial navigation by: * extending models based on large networks of biologically plausible spiking neurons with synaptic plasticity, * studying the generation and learning of complex spatial behaviors in the model, * quantitatively comparing the model output to the spatial behavior of mammals, and * studying the role of episodic memory in spatial navigation. The research groupis highly dynamic and uses diverse computationalmodeling approachesincludingbiological neural networks, cognitive modeling, and machine learning to investigatelearning and memory in humans and animals. _*Qualifications*_ * Adoctorate degreein neuroscience, physics, mathematics, electrical/biomedical engineering or a closely related field. In exceptional cases, graduate students with a Masters degree in these fields, but nodoctorate degree, may be considered. * Relevant experience in mathematical modeling together with a solid mathematics background * Relevant research experience in neuroscience or a related field (only position 1) * Be able to think algorithmically and have excellent programming skills (e.g., Python) * Excellent communication skills in English * Work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation <https://www.ini.rub.de/> in the Faculty of Computer Science <https://informatik.rub.de/en/> combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. Please send your application, including CV, transcripts (bachelor & master) and research statement electronically, as a *single PDF* file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references mustbe sent independently to the above email address. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to networkwith them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe, samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/73 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email:samarasinghe@ini.rub.de

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