189 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" PhD positions in France
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 23 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for
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, C.; Pineau, N.; Perrier, A. J. Chem. Theory Comput. 2020, 16 (11), 7017–7032 https://doi.org/10.1021/acs.jctc.0c00762 . (b) Villegas, O.; Serrano Martínez, M.; Le Bras, L.; Ottochian, A.; Pineau, N
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, 057701 (2022). Where to apply Website https://insa-rennes.nous-recrutons.fr/poste/ps4l4dbjoo-contrat-doctoral-heteros… Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Skills
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congested architectures. For more information, visit my professional website: https://iscr.univ-rennes.fr/daniel-muller Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6226-DANMUL-005
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part of the research theme 'Planets and Moons', and will be integrated within the ERC - IceFloods (https://lpg-umr6112.fr/en/erc-icefloods/ ). This thesis will aim to characterize the contribution of ice
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companies. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7261-AICBEL-049/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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” team. Website: https://cermav.cnrs.fr/en/equipe/physico-chemistry-and-self-assembly-of… Team Leader: R. Borsali The successful candidate will be responsible for synthesizing glycopolymers based
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 21 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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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