163 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" PhD positions in France
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Description The doctoral student will study the integration of molecular motors into supramolecular self-assemblies, and how the mechanical work generated by the actuation of the molecular machine will
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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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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” 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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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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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 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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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