148 structures-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" PhD positions in France
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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/ Partnerships Partners of the PEPR DIADEM – CINEMA project funding this PhD: IRCER, Institut P’, ILM https://www.pepr-diadem.fr/projet/cinema-2/ Scientific Field and Context The optimization of growth–property
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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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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
include oxides of chromium, iron, tungsten and the strongly correlated electron systems in SrFeO3−𝛿, LaNiO3 and SrRuO3. In situ neutron diffraction will allow to extract structural details including oxygen
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the developed analysis tools. You will join the Large Scale Structures (LSS) group at the ILL, Grenoble, France and work mainly with the two NR machines D17 and FIGARO for the implementation of the ML
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. Argument(ation) mining, the new and rapidly growing area of Natural Language Processing (NLP) and computational models of argument, aims at the automatic recognition of argument structures in large resources