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4 Oct 2025 Job Information Organisation/Company CNRS Department Heuristique et Diagnostic des Systèmes Complexes Research Field Physics Researcher Profile First Stage Researcher (R1) Country France
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30 Sep 2025 Job Information Organisation/Company Sano Centre for Computational Personalized Medicine Research Field Computer science Researcher Profile Recognised Researcher (R2) Established
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to address complex health challenges. Who we are looking for The following requirements are mandatory: To qualify for the position of postdoc, you must hold a doctoral degree in computer science, artificial
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Deadline 28 Oct 2025 - 14:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 22 days ago
the Chair "Artificial Intelligence and Mechanics for scale bridging in complex materials" (AIM), funded by MIAI Cluster AI and the ANR through the France 2030 program. The research will be conducted at Inria
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intestinal microbiome in shaping human health. Changes in the composition and function of this complex microbial ecosystem contribute to the development of chronic intestinal diseases, including inflammatory
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generations. We develop and share knowledge to address societal needs, contributing to solutions for complex social challenges and driving positive change. We educate 19,500 students from 110 nationalities
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in network science. NetSI faculty and researchers are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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to develop a biogeodynamic model, by coupling a trait-based eco-evolutionary model (e.g. AdaScape) into a reduced-complexity river delta model (e.g. DeltaRCM). We will use the model to synthesise information