264 machine-learning-"https:" "https:" "https:" "https:" "U.S" Postdoctoral research jobs at CNRS
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standard Python libraries for machine learning, in particular PyTorch. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6072-DAVTSC-008/Default.aspx Work Location(s) Number of offers
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to conduct his own research projects if the scientific scope is compatible with the ERC ATTRACTE (modulo machine time). This position is funded by the ERC Starting Grant ATTRACTE project (2023-2028, PI: G
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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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) - 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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experimental, analytical, and computational platforms to support the project. https://www.get.omp.eu/ The work carried out during this post-doctoral contract will be integrated into the ERC StG LEAPHY project
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collaboration with the consortium's partners, including the teams of Dr. Lucie Brisson (Bordeaux), Dr. Justine Bertrand-Michel (Toulouse), and Dr. Marie Beurton-Aimar (Bordeaux). Where to apply Website https
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of Learning and Development (LEAD- UMR-5022), at the Université Bourgogne Europe, CNRS (https://lead.ube.fr/ ) . To apply, please submit: - CV - Cover letter describing your interest in the position
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has state-of-the-art scientific equipment, from synthesis to characterisation of molecular materials Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5031-CORAME0-053/Candidater.aspx
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reasearcher will do missions at the ESRF in Grenoble during its work. The missions will be funded by the Openbar project. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5253-ROMVIE-004
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-machines and nano-robots as a drug delivery vehicles. As a core research activities, the postdoc candidate activities are the: - Design and in silico modeling of DNA origami nanostructures with high