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, immune–stromal interactions, and tissue remodeling, including in physiological contexts such as female reproductive biology and aging. Host Lab: Our lab addresses a central question in biology: what is the
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of results at conferences interaction with team members and international collaborators Required skills : Degree : PhD in computer science, machine learning, or computational biology We expect a candidate with
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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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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
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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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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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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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) – presentation of results at conferences – interaction with team members and international collaborators Required skills : Degree : Master of Physics, data science, computer science, applied mathematics We expect
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The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree: Master degree in computer science, computational biology, bioinformatics or similar Relevant skills : Hard skills