180 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD positions in France
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analytical chemistry research infrastructure Infranalytics. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7281-AURBIM-055/Default.aspx Requirements Research FieldChemistryEducation LevelPhD
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visit the website: https://www.is2m.uha.fr/ . The thesis will be attached to the doctoral school of physics and physical chemistry (ED182), which is co-accredited between Unistra and UHA. The doctoral
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for administrative registration. See: https://www.ehess.fr/fr/doctorat-anthropologie-sociale-et-ethnologie • Applications must include the following documents: - a CV - a cover letter + 2 letters of
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initial emissions, identify detection thresholds for current instruments and assess requirements for future instruments. The PhD student will learn to use the IPSL climate model, IPSL-CM, and carry out
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of internal reports, articles, patents, and communications. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5635-DAMVOI-021/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD
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growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/3067 Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications The candidate should
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natural organic matter well characterized extracts (IHSS), the study will be performed on real water resources. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8516-JUSCRI-009
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 2 months ago
) the exploration of mixed-precision arithmetic in the context of high-order discontinuous discretization methods, and (2) the integration of machine learning techniques to complement and enhance traditional