366 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at CNRS in France
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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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, and Adrian Vladu. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8243-MELGOD-010/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Research
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been revolutionized in recent years by machine learned interatomic potentials (MLIP), and questions that were impossible to tackle five years ago can now be addressed. The state-of-the-art approach
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) - bibliographic survey (secondary task) - participating in the management of the laboratory (secondary task) Frame of the contract : the LHFA (https://www.lhfa.cnrs.fr/ ) is an Unité Mixte CNRS-Université de
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strong attention on emotion analysis. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7271-SERVIL-001/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7258-STECOU-010/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears
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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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on annotated structures, which could eventually lead to automated comparative grammars. The mission is funded by the ANR Autogramm research project (https://autogramm.github.io/ ). Autogramm focuses on exploring