307 structures-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at CNRS
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identification of microbial species that coevolve with the host immune system. These findings will support models of immune dynamics that can predict age related immune responses. Where to apply Website https
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structure as well as the location and depth of the transformations. The researcher (M/F) will be in charge of material interaction experiments and/or electromagnetics and thermal simulations with femtosecond
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on this topic IMN is a joint research unit of 200 people. The recruited researcher (male/female) will join the PMN (Physics of Materials and Nanostructures) team. Where to apply Website https://emploi.cnrs.fr
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, between the sea and the mountains, offering a work environment that is intellectually stimulating and personally enriching. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7370-CLABLI-012
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through chemical analyses (ICP-AES and ICP-MS), physicochemical analyses (DLS, zeta potential), structural analyses (XRD, XANES, EXAFS), X-ray imaging (2D and 3D), microbial community analyses, and
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of a workspace, access to computer equipment, and a budget for mission funding. The contract is for 12 months, renewable once. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-OLIGOS
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5219-LAURIS-003/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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, brings together around 300 people and is one of the leading centers for fundamental research in biology in the Paris region. The host team (https://www.ijm.fr/recherche/duharcourt-lab-vf/ ) is particularly
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed