120 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" PhD scholarships in France
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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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to apply Website https://amethis.doctorat.org/amethis-client/prd/consulter/offre/2893 Requirements Research FieldGeosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Master’s degree in
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law for strain gradient plasticity. Journal of the Mechanics and Physics of Solids, 46(3), 411-425 Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7239-THIRIC-003/Default.aspx
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
. Picchini. Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappings. Transactions on Machine Learning Research, 2024 Kugler, F. Forbes, and S. Douté. Fast
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Redox Monolayer. Phys. Rev. Lett. 130, 218001 (2023). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR8001-SIMGRA-002/Candidater.aspx Requirements Research FieldEngineeringEducation
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of theoretical although both will explore the interfaces between theory and experiment. They will both be hosted by the Quantum Information team (https://qi.lip6.fr/ ) of the Computer Science department (LIP6
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comprehensive platform for data extraction, analysis, and version control, providing access to highly curated datasets in a machine learning-friendly format. This PhD is part of the CARES project (Chemically
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vision is also highly appreciated. The candidate must also have strong programming skills (Python, C++) and experience with ROS / MC_RTC (preferred). About MAVRICS The PhD is a part of the activities
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that are resistant to variable syngas compositions (CO/CO₂/H₂). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5256-CHRPIC-008/Candidater.aspx Requirements Research FieldChemistryEducation LevelMaster
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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a