205 computer-programmer-"Washington-University-in-St"-"Washington-University-in-St" positions in France
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to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological
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cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience with flow cytometry and
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schools History News 2025 School Introduction Registration Program Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020 2019 2018 2017 2015
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behaviour using computational approaches such as Bayesian program synthesis and inverse reinforcement learning. Investigate the diversity of motor commands that could implement observed behaviours and explore
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to target the mechanistic alterations at the basis of resistance to current therapeutic options. The research program will favor translational approach and the experimental design will benefit from
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; developing our partnership programme with industry; contributing to a quality management system; and the organization of webinars and other dissemination activities, including publications. Support from
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COMMUNICATION AND PUBLIC ENGAGEMENT Active scientific mediation with the general public on viral pandemics will be a core mission from the beginning. This will leverage: • SUNSET program (Sciences with and for
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collaborates across disciplines with faculties at the University of Vienna, including the Faculty of Computer Science, which is closely related to interactive communication. https://publizistik.univie.ac.at/en
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sciences, medicine), with a primary focus on the four year Midwifery Sciences Bachelor program. The holder will be involved in the selection of students, the establishment of the training plan, preparation
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic