77 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" uni jobs at CNRS in France
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https
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Infrastructure? No Offer Description This project is part of the European Commission Marie Sklodowska-Curie (MSCA) Doctoral Network GRAIL “Gamma Radiation from the Atmosphere for Investigation and Learning” https
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Ingénierie, Matériaux, ProcédésCountryFranceCityST MARTIN D HERESGeofield Contact City ST MARTIN D HERES Website http://simap.grenoble-inp.fr/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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well as participation in the sharing of the results with the scientific community and more widely, when relevant. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7332-CATLEV-058/Default.aspx
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Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7198-MELDOG-039/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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for energy conversion and dissipation control in nanofluidic systems. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8023-LYDBOC-030/Default.aspx Requirements Research FieldPhysicsEducation
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d'Electrochimie et de Physicochimie des Matériaux et des InterfacesCountryFranceCityST MARTIN D HERESGeofield Contact City ST MARTIN D HERES Website http://lepmi.grenoble-inp.fr STATUS: EXPIRED X (formerly Twitter
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, Microelectronics and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en/ ) is located in Villeneuve d'Ascq, near Lille, France. With a total staff of over 500, the institute has a broad research scope ranging
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. Wide-field coherent anti-Stokes Raman scattering microscopy using random illuminations. Nat. Photon. 17, 1097–1104 (2023). https://doi.org/10.1038/s41566-023-01294-x The project is part of an H2020/ERC