206 machine-learning "https:" "https:" "https:" "https:" "The Open University" scholarships in France
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differential equation models of bacterial persistence. A particular challenge, both for simulation and for machine learning, lies in the high dimensionality of these equations, which causes grid-based numerical
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the PhD). At Sorbonne University, the student will join IMPMC-UMR 7590 (https://impmc.sorbonne-universite.fr/en ). At the University of Melbourne, the student will join the Bio21 Molecular Science
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Modelling & Software 193, 106580. https://doi.org/10.1016/j.envsoft.2025.106580 Delestre, O., Rousseau, M., Razafison, U., Laguerre, C., Darboux, F., Lucas, C. FullSWOF_2D software, swhid : swh:1:dir
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inspiring novel strategies for brain-machine interfaces. Indeed, some studies have found HD signals to be anticipatory, depending on the degree to which movements are active, volitional or predictable. After
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researcher, and a research engineer. Field experiments will take place in Seville for Cataglyphis velox and in Australia for Myrmecia species. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5169
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 13 days ago
Computer Science, Machine Learning, Bioinformatics, Computational Biology, or related fields. Strong experience in deep learning, ideally with PyTorch. Proven experience with graph neural networks, geometric deep
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Chemistry (LCC, http://www.lcc-toulouse.fr/ ), one of the leading French chemistry institutes. We have at our disposal state-of-the-art technical and analytical platforms for the support of the project (e.g
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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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stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and
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condensed matter physics • Ability to learn and develop skills in analytical computation, theoretical modelling and numerical simulations, in particular the numerical solution of partial differential