315 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at CNRS
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• Openness to interdisciplinary research (climate and social sciences) • Good level of scientific English Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UAR636-ALERUB-040/Default.aspx
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for administrative registration. See: https://www.ehess.fr/fr/doctorat-anthropologie-sociale-et-ethnologie • Applications must include the following documents: - a CV - a cover letter + 2 letters of
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funding agency. The PhD student will be supervised by Olivier Lafon at the University of Lille (https://uccs.univ-lille.fr/en/research-teams/solid-state-chemistry-department/rm2i-team and https://pro.univ
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astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
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on the flow in soap films and will help us better understand how surface viscosity affects foam drainage, bubble coalescence, and the aging of fluid interfaces. Where to apply Website https://emploi.cnrs.fr
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visit the website: https://www.is2m.uha.fr/ . The thesis will be attached to the doctoral school of physics and physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral
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analytical chemistry research infrastructure Infranalytics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7281-AURBIM-055/Default.aspx Requirements Research FieldChemistryEducation LevelPhD
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. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5629-FLOLEG-003/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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, fluid, and gas transfers on the formation of resources such as natural hydrogen. This issue will be re-evaluated in the Aquitaine Basin and the northern Pyrenees. Where to apply Website https
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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