476 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at CNRS in France
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Régis de la Bretèche and Cathy Swaenepoel. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7586-REGDUM-001/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD
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Grandville - ENSIC). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7274-YANLEB-007/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research
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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9198-TANTIB-001/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD
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Chernodub's group in Tours, Adolfo Grushin's group in San Sebastian, Spain, and Andrei Fedorenko, Edmond Orignac and David Carpentier at LPENSL. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR5069-SAMLAK-012/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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. The project is carried out in a collaborative research environment. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9025-DANCOM-005/Candidater.aspx Requirements Research FieldPhysicsEducation
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic