158 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" "UCL" PhD positions in France
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cardiovascular disease, chronic kidney disease, cancer and chronic inflammatory disease. For more information: https://www.cordis.europa.eu/project/id/101225380 Cardiovascular disease (CVD) is the leading cause
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Location(s) Number of offers available1Company/InstituteCentrale Lille InstitutCountryFranceGeofield Contact State/Province Hauts-de-France City Villeneuve d'Ascq Website https://centralelille.fr
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characterization); interest in applied research; rigorous and autonomous; problem-solving skills; eager to learn; communication skills To apply, please send your cover letter and CV to the IFPEN supervisor indicated
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research. This job offer is in the form of a 36-month full-time doctoral contract. Where to apply Website https://edictproject.eu/ Requirements Research FieldPsychological sciences » PsychologyEducation
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/Province France City Ecully Website http://www.ec-lyon.fr Street 36, av Guy de Collongue Postal Code 69130 E-Mail benedicte.martin@ec-lyon.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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Website for additional job details https://christinapsaroudaki.com Work Location(s) Number of offers available1Company/InstituteÉcole Normale SupérieureCountryFranceGeofield Contact State/Province Not
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Contributions - A formal framework for modeling well-being in adaptive learning - A well-being-aware student simulation model - A multi-objective RL framework - An orchestration architecture - Experimental
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SAF combustion. Recent advances have demonstrated that machine learning techniques, particularly neural networks, can significantly accelerate chemical kinetics computations. Nevertheless, most of
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inhalation. Required skills : : organic synthesis, physico-chemical characterization, nanomedicine Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7325-VALSEV-154/Candidater.aspx Requirements
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, the candidate will help the team on the following tasks and research areas : - improve integration of the framework with learning/inference framework (PyTorch, Keras, AIDGE, ...) - improve implementations of low