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done to explore the effect of these defects on the multiphysical behavior of composites in cryogenic environments. The thesis topic is structured into three main parts. • The first part focuses
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for the development of innovative therapies. Radiotheranostic, a rising field in nuclear oncology, enables the visualization of tumor biomarkers and the application of a complementary personalized therapeutic agent. It
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. This issue can have safety implications, particularly in closed-loop setups. Physically Informed Machine Learning (PIML), and in particular Physics-Informed Neural Networks (PINN), are less dependent on data
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, moving away from the isothermal approximation of the Parker wind. 3D visualization and analysis of simulation results will be performed, including force and energy balances, as well as the study of
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work effectively in a multidisciplinary environment. • Contribute to the technical life of the laboratory alongside other staff (ordering, equipment maintenance, stock and waste management
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across populations. This reproductive strategy, known as masting, represents both a major ecological and economic issue for forest trees, while remaining an evolutionary puzzle. Masting strongly influences
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cavitation and the effects observed on biofilms and bacteria, and to understand these links, in order, in the long term, to optimize and control this type of therapy. The profile of the PhD student (M/F) must
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), and therefore, in accordance with regulations, requires that your arrival be authorized by the competent MESR authority. Liquid flows in vascular networks are among the most effective ways to transport
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atmospheric sciences and artificial intelligence (two PhD theses, one completed and one ongoing), and have already established a common framework ensuring effective collaboration. The appointed doctoral
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crucial to determine how the necessary operations can be effectively implemented as operators within a vector database management system, ensuring both efficiency and scalability. Where to apply Website