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candidates and 4 post-doc researchers. Context of the study: Carbon/Carbon (C/C/SiC) composites are superior materials for various applications in heavy industry and especially in aerospace, for example as
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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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to provide technical advice for its exploration and production. The post-doc will be supervised by Marie-Christine Cacas-Stentz (IFPEN) and Jean-Paul Callot (Université de Pau et des Pays de l'Adour
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