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-making processes to autonomous control and analytics. This PhD project aims to investigate and design novel abstractions, models, and algorithms that enable the superimposition of human-in-the-loop
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characterization of C and SiC fibers - Training on bench use (in particular heating techniques by Joule effect, laser diffraction, infrared imaging, pyrometry, preparation of micrometric samples, ...) - Technical
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data
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