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activities: • Develop a comprehensive model for selected structures, utilizing finite-difference time-domain (FDTD) electromagnetic simulations and iterative algorithms. • Create a physics-based generative
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reactiOns) algorithm, developed within the DeSIS research team, which combines experimental measurements and simulated data to improve predictions of secondary particle production cross sections. High-quality
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Préhistoriques (HNHP, UMR 7194) laboratory is a joint research unit under the supervision of the CNRS, the MNHN, and the UPVD. Its mission is to study the biological and behavioral evolution of hominins over
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4 Jul 2026 Job Information Organisation/Company CNRS Department Institut de recherche en informatique et systèmes aléatoires Research Field Computer science Mathematics » Algorithms Researcher
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digital worlds. Its teams explore, design, and develop models and methodsboth physical and algorithmic—as well as new technologies that bridge the real world (matter and living systems), digital data, and
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involve any development of language models. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7253-DOMLOU-016/Default.aspx Work Location(s) Number of offers available1Company
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in