440 machine-learning-"https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in France
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- l'institut du thorax, INSERM, CNRS, Nantes Université
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duration of 36 months. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5804-ISAGUI-012/Candidater.aspx Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent
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in Toulouse: the LNCMI (transport measurements at very high fields), the CEMES (theory, DFT), and the LAAS (epitaxial growth and nanofabrication). Where to apply Website https://emploi.cnrs.fr/Candidat
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the hierarchical authority of Laurence Talini. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR125-LAUTAL-001/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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the BERNARDO project, funded by the PEPR LUMA program (https://www.pepr-luma.fr/ ). The project focuses on chiroptical interactions, which play an essential role in fields such as biomolecular recognition
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Numerical simulations Analysis of experimental data Laboratoire Jean Perrin Theory group Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8237-RAPVOI-006/Candidater.aspx Requirements Research
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for integrated photonics perspectives. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9001-MATJEA-001/Candidater.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent
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the team 'Structural and Magnetic Properties of Materials. Four EPR spectrometers are available, in addition to three laboratories where sample preparation can be realized. Where to apply Website https
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, MultiFab, TRI-Genotoul). The project is embedded in a dynamic regional and national collaborative ecosystem focused on organ-on-chip technologies and personalized medicine. Where to apply Website https
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research focuses on fundamental questions in automata theory on the one hand, and on algorithmic questions arising from concrete problems on the other. Where to apply Website https://emploi.cnrs.fr/Candidat
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on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify