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“Advanced tools for operation/supervision of energy networks” at the Rennes campus of CentraleSupélec. The position is funded as part of the French National Research Agency’s (ANR) FairGrid-AI project “Fair
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, Process Engineering, Fluid Mechanics. Skills Engineering sciences and techniques (processes, control, bioengineering) – advanced knowledge. Cell culture techniques (basic skills) Biomaterial
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architectures of digital circuits, FPGA would be a plus - Knowledge in coding and compression of information, or signal processing - Experience with manipulation and customization of AI training flows
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, glycopolymers, and glycomaterials) involved in biological processes and health, to bio-based materials. Website: https://cermav.cnrs.fr The successful candidate will have access to all the resources available
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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and signal processing. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR3346-NADMAA-155/Default.aspx Work Location(s) Number of offers available1Company/InstituteInstitut P
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candidate must have a proven experience in numerical simulation in fluid mechanics and/or aeroacoustics, as well as strong skills in linear algebra and signal processing. Website for additional job details
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related field. The candidate must demonstrated experience in numerical simulation in fluid mechanics and/or aeroacoustics; strong expertise in linear algebra and signal processing. Website for additional
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structure and binding mode of semiquinone-type radical species produced during the operation of these enzymes. These approaches will make it possible to understand the role of the protein environment in
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. While much attention is given to visible canopy decline, the long-term stability of forests is strongly determined by processes occurring below ground. Trees allocate a substantial proportion of their