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precision at very fine spatial scales, thereby revolutionizing the performance of future optical systems—especially for the direct detection of exoplanets. The methodology will combine advanced numerical
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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2025. She has established amphibian as a relevant model to study cerebellar development. All necessary technological expertise in molecular and cellular biology, and developmental embryology, is
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production. By developing hybrid architectures combining ontologies, generative models, reinforcement learning, and uncertainty quantification, the PhD project addresses the challenges identified by ICCARE in
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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging
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Brillouin); (2) to extend this analysis to an inhomogeneous geometry representative of direct drive con-ditions, in 2D or 3D geometry, and taking into account the spatial structure of the beam (speckle
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) inverse the time-domain data into spatial domain based on full wave inversion (FWI); (2) combine the simulated data with experimental data to build hybrid dataset, (3) use learning-based methods to detect