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security, artificial intelligence, image and text processing, microelectronics, etc. The laboratory is particularly involved in AI research, notably developing work on generative models to accelerate
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carry out research within the "Materials" team of the LAUM, and will be in charge of the design and realization of experiments, signal processing, and interpretations, on non-linear waves in flexible
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processing, involving machine learning techniques, as well as active participation in data collection from the detectors deployed on site. - Analysis of particle physics data applied to muography: filtering
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requires the use of straight, stiff instruments. Such procedure implies limited dexterity and access, increasing risks of bleeding and residual stones, intensified by the complex anatomy of the organ. Major
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time in a cyanobacterium, challenging the usual paradigm according to which cyanobacteria biomineralise CaCO3 extracellularly as an indirect by-product of photosynthesis (Couradeau et al.; 0.1126/science
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experiments and numerical simulations and will be divided into three parts: Microstructure: 1.1. Experimental Characterization: Using X-ray tomography, image analysis with conventional tools or deep learning
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-of-the-art facilities for molecular and cellular biology, histology, bone imaging, and animal surgery. Working at B3OA means thriving in a collaborative and stimulating research environment conducive
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, and operation of LHCb's electromagnetic calorimeter, as well as the design of its future upgrade. Both groups are also actively working on LHCb's real-time analysis system and have a large interest in
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scenarios for possible « hydrogen » systems in the basin. This will be done using a prototype version of the TemisFlow commercial software developed by IFPEN. - The first part of the work will consist of a
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-controlled loading) and measurement systems, including ultrasonic sensors to monitor and image both stress cycles and fracture developments in rock samples. He will test continuous and cyclical stress loads