215 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs at CNRS in France
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of a workspace, access to computer equipment, and a budget for mission funding. The contract is for 12 months, renewable once. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9194-OLIGOS
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confirmation. About LAPTh (https://www.lapth.cnrs.fr ): LAPTh is a joint research unit (UMR) of CNRS and Université Savoie Mont Blanc (USMB). Its scientific activities span cosmology and astroparticle physics
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site. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7648-EDOBOU-049/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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https://emploi.cnrs.fr/Candidat/Offre/UMR3215-YOHBEL-023/Candidater.aspx Requirements Research FieldMathematicsEducation LevelPhD or equivalent Research FieldHistoryEducation LevelPhD or equivalent
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the competent authority of the MESR Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6072-SOPRAS-011/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research
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Field Laboratory (EMFL), the LNCMI actively contributes to scientific progress at the European level. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3228-CATKNO-050/Candidater.aspx
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) and high mass (>100 GeV). More details about the team in https://www.cppm.in2p3.fr/web/en/research/astroparticles/index.html#Dar… The candidate will be involved in all experimental aspects, from
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atmospheric plasma to treat fibrotic diseases. The agent will join the emerging Innovative Cancer Treatment team. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8175-LAUFOU-002/Default.aspx
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students working in the fields of industrial economics and innovation, energy economics, and environmental economics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9217-NADLEV-001/Default.aspx
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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