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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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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
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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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of the Department of Computational Biology and also holds a secondary affiliation with the Development Department, as well as an affiliation with CNRS. The recruited candidate will be affiliated 80
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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
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