502 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at CNRS
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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astrophysics (completed by the start date), demonstrated experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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mechanics, inert, anisothermal and reactive fluids, to effects related to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-157/Candidater.aspx Requirements Research FieldEngineeringEducation
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mechanics, inert, anisothermal and reactive fluids, to effects related to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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to complementary physical properties of thermal, combustion and detonation. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR3346-NADMAA-156/Candidater.aspx Requirements Research
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Website https://emploi.cnrs.fr/Candidat/Offre/UMR7019-EMMBIG-005/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldChemistryEducation LevelPhD or equivalent
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contributes to tools such as ProVerif and Tamarin. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7503-VERCOR-005/Candidater.aspx Requirements Research FieldComputer scienceEducation LevelPhD