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The PhD will take place at LOCEAN (Laboratoire d'Océanographie et du Climat), a leading oceanography and climate research laboratory at Sorbonne Université. The candidate will work in a dynamic
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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specialist for the formulation of model soft media. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5295-MATMAL-001/Default.aspx Requirements Research FieldEngineeringEducation LevelMaster
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to solar-driven thermophotovoltaic systems. By combining numerical modeling with experimental development, this PhD aims to bridge the gap between theoretical cavity designs and practical TPV subsystem
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of artificial surfaces, built-up area, etc.), with land values in order to then examine the empirical relevance of models from urban economics, which explain residential location choices as a compromise between
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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modelling, both assisted by AI. The PhD candidate will have access to state-of-the-art research facilities and computational resources. He will be offered the opportunity to participate in in international
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opportunity to work with other members of the French and Singaporean teams. The PhD is funded by the Q-loop project (quantique.france2030.gouv.fr/recherche-innovation/programme-lsq/), which focuses on system
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al. 2019] and point-force Lagrangian models, with advanced post-processings [Vegad2024]. This work will be carried out with the YALES2 high-performance platform. Where to apply Website https
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research, - autonomy and creativity in problem-solving, - openness to collaboration with industrial partners (Airbus) and have an interest in aeronautical modelling projects. The candidate must hold a PhD in