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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
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-researchers, experimentalists, and theoreticians, and its research activity is supported by around sixty engineers, technicians, and administrative staff. The laboratory welcomes a large number of undergraduate
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be highly interdisciplinary. Two different profiles are possible for this position: either a profile in engineering sciences or biomedical physics, with a strong desire to learn about microbiology
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27 Aug 2025 Job Information Organisation/Company CNRS Department Institut d'Electronique et des Systèmes Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1
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, engineering, bioinformatics, machine learning, artificial intelligence) to support minimally invasive and targeted preventive and predictive medicine capable of limiting age-related functional disorders
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29 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire Procédés, Matériaux et Energie Solaire Research Field Engineering Chemistry Physics Researcher Profile First Stage
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 hours ago
arithmetic cores for FPGAs). The team hosts 6 faculty, 6 PhD students, 3 postdocs, 2 engineer, and multiple research interns. Additional information can be found on team website: https://team.inria.fr/emeraude
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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particular NLP, statistical learning, machine learning, generative AI, and their major fields of application. Roles and responsibilities The applicant will join the team of the 3IA Côte d’Azur Institute and
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as