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developing more complex coupling schemes. The aim is to improve the prediction of natural resources in sedimentary basins. The PhD must have been awarded no more than three years before the start of
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criteria • PhD in Physical Chemistry, Physics, or a closely related discipline • Strong hands-on experience with ultra-high vacuum (UHV) systems, infrared spectroscopy, cryogenics, and/or molecular beam
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perception, de raisonnement, d'apprentissage, d'action et de réaction. Les principaux axes de recherche de l'équipe sont : les architectures pour robots autonomes, l'interaction humain-robot, l'apprentissage
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria knowledge extraction, modeling and management; programming The expected profile is a candidate with a PhD Industrial
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Sciences Quantiques (CESQ) , 2 rue du Loess, 67200, Strasbourg, France Desired level of education : PhD Experience required : Maximum of 1 year after PhD defence Contact(s) for information
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trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based
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with laboratory-scale experiments using breakthrough curves. - Activity 3: Supervise and guide Masters and PhD students working on reactive transport and similar topics. - Activity 4: Participate in
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, which combines tools from probability, statistics, PDEs, and extreme-value theory to address climate-related questions. Qualifications: Completed PhD degree in Mathematics, with a solid background in at
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sciencesEducation LevelPhD or equivalent Skills/Qualifications PhD and firs postdoctoral experience. Expertise in intestinal epithelial cell biology, microbiome research and IBD pathogenesis Research FieldBiological
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PhD position under LUMEN project funded by BPI-France, France 2030 and Normandy Region within I-Démo 2024 program. The project gathers experts in fiber laser design, realization and qualification aiming