163 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in France
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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) - Signal processing and image analysis (Python) - Oral presentation of scientific results at meetings and international conferences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295
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specialist for the formulation of model soft media. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295-MATMAL-001/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 3 hours ago
by the Simons Foundation’s grant ``Probabilistic paths to Quantum Field Theory’’, started on September, 1st 2025 https://probabilistic-qft.org/ . Applicants must hold an excellent master’s degree in
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, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
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The expert will participate in the necessary methodological developments and analyses of airborne data recorded by the IAGOS research infrastructure (https://www.iagos.org ) and from other networks, to provide
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that give rotaxanes the ability to produce reactive oxygen species, and applications of these architectures in antibacterial photodynamic therapy. Where to apply Website https://amethis.doctorat.org/amethis
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, L. Estel, Analysis of thermal runaway events in French chemical industry, Journal of Loss Prevention in the Process Industries, 62 (2019) 103938. https://doi.org/10.1016/j.jlp.2019.103938 2. Y. Wang
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months 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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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https