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la stabilité des algorithmes et à l'efficacité computationnelle. Une partie de la thèse sera également consacrée à des travaux expérimentaux visant à caractériser le comportement mécanique de systèmes
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Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
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algorithms have been developed, most based on a hybrid architecture combining transform coding and predictive coding. Standards such as H.264/AVC, HEVC, and VVC follow this principle. While they offer highly
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will develop an approach
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Prof. Marc-Emmanuel Dumas in Lille, France. The successful applicant will develop high-throughput high-resolution mass-spectrometry based metabolomic workflows (automatization of sample preparation
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energy recovery linac (ERL) demonstrator at IJCLab, Orsay. ERLs offer a promising way toward the development of future colliders, particularly by providing excellent beam quality while drastically reducing
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of this thesis focus on several key areas: - Detection and modeling of node mobility: Supervised learning models will be developed to identify mobility patterns based on radio indicators such as RSSI, SNR, and
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fatigue; (ii) development of physical activity session adaptation algorithms based on these markers, with the definition of concrete adaptation rules (e.g., increased eye saccades, VAS/Borg scores >6); and
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focuses on modeling IoT-Fog environments, designing multi-objective optimization algorithms (latency, energy, reliability), and developing strategies for critical IoT applications like smart cities and