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at this interface. This includes work on fascinating genetic systems such as CRISPR-Cas, other novel anti-phage systems, and Diversity Generating Retroelements (DGRs). The lab focuses both on fundamental aspects
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. Qualifications PhD (obtained or near completion) in evolutionary biology, population genetics, genomics, or bioinformatics. Strong background in population genetics and evolutionary biology. Proficiency in
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candidates with: A PhD (or near completion) in immunology, cell/molecular biology, female physiology, aging biology, or related fields. A strong track record of research and publications. Experience with
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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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interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI, computer science, population biology or a similarly quantitative discipline
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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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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scientists (post-docs, PhD students, engineers) with deep expertise in mass spectrometric method development. Instrumentation: Exclusive access to a unique range of state-of-the-art mass spectrometers
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@pasteur.fr ). Required qualifications: Recent PhD degree (including in late 2025) in tumor biology, vascular biology, immunology or related biomedical field, with at least one accepted publication and lab