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‑generation photonic and analog electronic design automation (EDA). You will explore, develop, and validate AI‑assisted methodologies that accelerate the design, optimization, and verification of optical and
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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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position as Senior Lecturer. Optimization, machine learning, and control theory together form a central toolbox for understanding, analyzing, and controlling complex systems. These fields span deep
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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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offers and actions on https://cluster-ia-enact.ai/ . You will work in a rare environment at the intersection of frugal AI, analog computing, reconfigurable electronics and THz imaging. The PhD is directly
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for veterinary antimicrobial stewardship and infection prevention. Information on the department and the section can be found at: https://ivh.ku.dk/ . Our research The Assistant Professor will be part of the OHAR
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the optimal reaction conditions. Heterogeneous catalysis will be coupled with mecanochemistry to enhance the reactivity of the cellulose. This Phd will be shared between IC2MP in Poitiers (especially working
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.) must contribute to the effort to reduce GHG emissions. Clouds, despite their ability to optimize processes in other sectors (transport, energy, agriculture), are no exception to this observation
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Université Paris-Saclay GS Santé et médicaments | Montigny le Bretonneux, le de France | France | 8 days ago
project aims to test and optimize this approach in a rat model of cervical contusion in order to establish its mechanistic and translational foundations
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Reference Number BAP-2026-229 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an enthusiastic PhD researcher to advance hardware-aware Neural