311 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at CNRS
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CARBON WATERS. The project is funded by the Agence Nationale de la Recherche (ANR). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-MIKBEC-031/Candidater.aspx Requirements Research
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multicultural hub and a leading Asian center for quantum technologies. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/IRL3654-CORHUN-036/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD
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preserved by Christian institutions, following the example of research carried out by the ChrIs-cross team on documents preserved in Jerusalem. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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UMR 6524, Clermont-Auvergne University. Collaboration with the IMFT (Institute of Fluid Mechanics, Toulouse) for the numerical modelling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6524
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, depending on the start date. To apply, candidates must submit: 1) A detailed CV with a list of (pre)publications 2) A cover letter 3) A research proposal Where to apply Website https://emploi.cnrs.fr/Offres
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as part of this postdoctoral position. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-CAMBAK-004/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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experience in scientific programming is a plus. • Experience in constructing Machine Learning potentials would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5254
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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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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