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protocols to evaluate 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
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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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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
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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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analyse data, interpret and present results to a high standard using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C
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to the ontogeny of health and disease. This project was selected for funding by the ERC-CoG-2024 call and the Impulscience program from fondation Bettencourt Schueller.
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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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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications should be sent to pierre.guermonprez@pasteur.fr ; julie.helft@inserm.fr
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, computational neuroscience, or a related field Strong programming skills in at least one of the following: Python, R, MATLAB, C, or C++ Demonstrated experience in statistical analysis and/or machine learning