17 computer-programmer-"Gustave-Roussy-"-"Gustave-Roussy-" positions at Institut Pasteur
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, an interdisciplinary team with longstanding network of collaborations. This project is part of the national PEPR Cell-ID (Cellular identities and destinies) program, funded by the French National Research Agency (ANR
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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We are recruiting a Postdoctoral Researcher to join an internationally funded, collaborative research program focused on Plasmodium falciparum liver-stage infection. The project seeks to identify
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Audiology (CERIAH), led by Professor Paul Avan, within the Institut de l’Audition at the Pasteur Institute in Paris, France. As part of a structuring program at the intersection of scientific research
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Research Engineer/Postdoctoral Position Decision and Bayesian Computation (DBC) – Epiméthée (EPI) Laboratory Institut Pasteur, Paris | 25 rue du Docteur Roux, 75015 Paris Position Overview We
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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research unit UMR2000 Evolutionary Genomics, Modeling and Health . It offers strong expertise in virology, molecular biology, population genetics and genomics, and access to high-performance computing
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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significant computational component. We strongly recommend a background in machine learning and coding. Applicants with a background in areas such as computational neuroscience, reinforcement learning, or deep
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for future career development in both academia and tech. Profile Required: PhD in ML, computational neuroscience, physics, engineering, or related field Strong experience in machine learning (PyTorch