193 structures "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in France
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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 4 days ago
of the proposed research subject : A state of the art, bibliography and scientific references are available at the following URL: https://vincentgaudilliere.github.io/files
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experimental measurements will be conducted to characterize key physical parameters, including temperature gradients, cooling rates, and surface and structural integrity, using multi-scale and Multiphysics
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material for an intended structural application. To conduct this study, a nickel-based superalloy (Inconel 718) will be used as a model material because of its broad industrial applicability and its
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cells at the right time. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR9002-WILRIT-003/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-ARNMUS-007/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of 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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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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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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, 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