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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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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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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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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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spectrometry (XL–MS) or structural proteomics is a strong advantage, it is not mandatory—we provide extensive, tailored training. You are collaborative, independent, and eager to push methodological boundaries