177 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" scholarships in France
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the domain of molecular simulation of physico-chemical processes in proteins. The PhD student will have access to the computer cluster of the lab and to national supercomputers of the GENCI. [1] R
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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 | 20 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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Biomechanics Website for additional job details https://comete.unicaen.fr Work Location(s) Number of offers available1Company/InstituteCOMETE lab INSERM U1075CountryFranceCityCaenPostal Code14032Street2 rue des
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public/privé ANR PRC PHD title: Doctorat de Chimie PHD Country: France Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/137017 Requirements Specific Requirements Candidate
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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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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