185 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Postdoctoral research jobs at CNRS in France
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, INSERM and Sorbonne Université. The candiate will also work with our collaborators in the project. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8265-FRATRO-002/Default.aspx Requirements
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9009-CLALEN-001/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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research in social, affective, and health neuroscience. English is the working language of the team, but speaking French or an interest in learning French will be advantageous. Where to apply Website https
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also work closely with the GRASP SAS company. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8518-MARLIE-024/Default.aspx Requirements Research FieldMathematicsEducation LevelPhD
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campus with meal subsidies from the CNRS. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7515-JULBER-106/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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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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of European projects (GUINEVERE, FREYA, MYRTE) or bilateral CNRS-SCK collaborations (MYRACL, SALMON). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6534-AURGON-050/Default.aspx Requirements
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, MYRTE) or bilateral CNRS-SCK collaborations (MYRACL, SALMON). Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6534-AURGON-049/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD
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, particularly in the synthesis of promising materials and in spectroscopic techniques such as EPR (Electron Paramagnetic Resonance). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7314-FRESAU-017
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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