17 data-"https:" "https:" "Computer Vision Center" Postdoctoral positions at Institut Pasteur
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Synthetic Data Simulation for Malaria Genomic Epidemiology Team: Infectious Disease Epidemiology and Analytics Department of: Global Health Member: Aimée Taylor Scientific Fields Diseases Organisms
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell
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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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. Our group is currently developing new methods for analyzing whole genome and brain imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. The role of the
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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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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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generates symbiosis. bioRxiv https://doi.org/10.64898/2026.01.15.695950. Merle , M., et al. 2024. Precise and scalable self-organization in mammalian pseudo-embryos. Nat Struct Mol Biol 31:896-902
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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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interactions and a B cell zone where germinal center-like structures may develop. In first intent, T cell zones will be established using autologous stromal cells expressing FLT3L and CCL21, while B cell
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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