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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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, contributing to research in the field of artificial learning. The data generated by this doctoral work will be deposited on open archaeological databases (Nakala, Huma-Num, POP, etc.), and the algorithmic code
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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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