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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
., Revenko, A., Teije, A. T., & Harmelen, F. V. (2023). Combining Machine Learning and Semantic Web: A Systematic Mapping Study. https://doi.org/10.1145/3586163 [2] Benoît Combemale, Pascale Vicat-Blanc
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 25 days ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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spent more than 12 months in France during the last three years (i.e., between March 15th 2023 and March 16th 2026), not including holidays. Where to apply E-mail [email protected] Website https
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lines, as well as high-resolution live-cell imaging techniques. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5237-JERBOU-001/Default.aspx Requirements Research FieldBiological
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with CKD. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7370-JULBER-001/Default.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent Research
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to correlate polymerisation kinetics, macromolecular architecture, morphological evolution and drug encapsulation mechanisms. Beyond experimental work, the project will integrate machine learning approaches
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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Génétique CellulairesCountryFranceCityBORDEAUX Contact City BORDEAUX Website http://www.ibgc.cnrs.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
/hal-04213978 Pierre Cesar, Sofya Dymchenko, Abhishek Purandare, Bruno Raffin. *Learning Where to Simulate: Generative Active Sampling for Online PDE Surrogate Training*. 2026. https://inria.hal.science