12 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Bath-Spa-University" positions at Institut Pasteur in France
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of biological samples in collaboration with partner teams. Expected profile: Physicist, engineer or computational scientist Strong motivation to work at the interface of physics/engineering/computer science and
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, cultural, and philanthropic partners. Propose scientific, technical, and artistic evolutions for the program. Profile Candidate Education Research engineer in acoustics In-depth knowledge of hearing In-depth
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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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/machine-learning-for-integrative-genomics/ The HUB : https://research.pasteur.fr/en/team/bioinformatics-and-biostatistics-hub/ Degree : PhD in computer science, computational biology, bioinformatics
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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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Immunity Unit within the Immunology Department. https://research.pasteur.fr/fr/team/innate-immunity/ Candidate requirements: Candidates should have a PhD with strong background in Immunology and/or Virology
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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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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