178 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" scholarships in France
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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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silylated monomers in the COHA group of the Laboratory of Molecular Innovation and Applications (LIMA, Strasbourg, https://lima.unistra.fr ). The polymerisations to produce non-PFAS coatings will be carried
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 6 days ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09928 Requirements Skills/Qualifications Profile: - The candidate is completing a Master's or engineering’s degree in Computer Vision, Electrical
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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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: https://www.uca.fr/recherche/presentation * Host Laboratory: https://celis.uca.fr * Information and resources on international mobility: Euraxess Auvergne Services Centre * Visa applications: Campus
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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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 14 days ago
:2011.10975. Prépublication, arXiv, novembre 22. http://arxiv.org/abs/2011.10975 . Hlad, Nicolas, et Benoit Verhaeghe. 2025. Migrating Katalon Studio Tests to Playwright with Model Driven Engineering. https
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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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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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