14 computer-engineering-"https:"-"https:" "Computer Vision Center" Postdoctoral positions at Institut Pasteur
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Application Deadline 31 Dec 2027 2027-12-31 8:00:00 2027-12-31 18:00:00 Europe/Paris Postdoc position in Machine Learning for Integrative Genomics The Machine Learning for Integrative Genomics team (https
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immunogenicity of multiple vaccine candidates in humans. This issue can be addressed by harnessing advances in tissue engineering, via the design of new organ-on-chip models that mimic features and
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biomedical research, located in the heart of Paris. Scientific freedom to explore innovative ideas and develop your own research vision. Continuous support to apply for your own fellowships and excel in
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October 2026 for a minimum of 2 years, renewable. Location: The Institut Pasteur (https://www.pasteur.fr/en) is a world-renowned center of excellence for its research in biology, infectious diseases and
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, post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, Immunology Department https://research.pasteur.fr/fr/department
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genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R, Python, Bash). Good level on machine learning. Good level of written and oral
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: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping
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EN FR Go back Scroll to top Share Generative and foundation models for neurophysiological signals Master 2 on Feature Engineering for Malaria Genomic Epidemiology © Melody Merle Fluorescently labeled
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Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr/department/immunology/). Background : We are seeking a highly motivated researcher to join
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organoid systems with functional assays, flow cytometry, advanced imaging, and high-dimensional approaches, including single-cell and spatial transcriptomics and epigenomics. More details: https