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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
Website https://jobs.inria.fr/public/classic/en/offres/2026-09754 Requirements Skills/Qualifications Technical skills and level required : computer science, algorithms, and optimization Languages : French
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" team led by Jean-Luc Gennisson, a team of 25 permanent people positions and 20 students. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9011-JEAGEN-005/Candidater.aspx Requirements
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will be to develop novel or improve existing AI algorithms and conduct investigations aimed at improving our understanding of the evolution and function of microbiomes. You will be responsible
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. Through continuous structural monitoring systems Through continuous structural monitoring systems and artificial intelligence algorithms (machine and deep learning, hybrid physical-data driven methods
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, manuscript preparation, meeting with collaborators, etc. In particular, the Research Scientist hired for this position is expected to develop AI algorithms for the directed evolution of proteins with a
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
to collect data from public or commercial databases and develop algorithms using existing libraries. Based on the previously identified resources, the Ph. D. thesis will then focus on the extraction of oxides
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increasingly shapes biomedical research and healthcare decision-making, we also value candidates who can help students critically understand how algorithmic systems affect equity, access, bias, and real-world
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
to responsible AI. Starting Date. Flexible start in early 2026. Selected references. - [1] Dwork, Cynthia, and Aaron Roth. "The algorithmic foundations of differential privacy." Foundations and Trends® in
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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new AI algorithms for science. Our group also welcomes new research directions, and collaboration across different groups at the laboratory and beyond. We publish in peer-reviewed journals and