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Description Tighter regulations on the consumption of fossil fuels are currently driving the market for bio-oils derived from liquefaction or pyrolysis processes. To make them compatible with conventional fuel
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on advanced AI methodologies. Incorporating physics-guided deep learning models that explicitly integrate the underlying MRI signal formation process to enhance reconstruction reliability and interpretability
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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as trace in liquids, or as relative humidity (RH) in air are highly critical for industrial process controls, solvent manufacture, food and drug storage, lithium-ion batteries life extension, and
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reduce the energy consumption of data storage. Research on this area is multidisciplinary by nature, encompassing fields as diverse as biology, chemistry, bioinformatics, signal processing, and error
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OH* chemiluminescence. The databases will be explored using modal-decompositions and related signal-processing techniques whose objective is data-reduction that would reveal key dynamics associated
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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knowledge of the synthesis and characterization of materials. Signal processing skills are appreciated, but not mandatory. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8520-YANCOF-019
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biologists, physicists and computer scientists. Your second base will be Alphée Michelot's group at the Mechanobiology Institute of Singapore (MBI) to achieve objective 3. The Michelot group is an expert in
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partner. This knee brace can be worn by any patient with a complete or partial knee prosthesis, or with metal parts (pins, screws, etc.) following knee repair surgery. - main mission : The electronics