167 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" PhD scholarships in France
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | about 13 hours ago
solutions for vibration and noise control in lightweight structures (https://cordis.europa.eu/project/id/101227712 ). The project focuses on the development of Acoustic Black Hole (ABH) technologies
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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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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. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5217-MAGRIC-001/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent Research
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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expected to present his/her scientific findings at national and international conferences and to write research articles based on the obtained results. Where to apply Website https://emploi.cnrs.fr/Offres
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being reachable within an hour train ride). Website: https://www.iemn.fr/la-recherche/les-groupes/physique/nanostructures-qu… In the digital age, the energy consumption of microelectronic devices presents
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably