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Field
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leveraged to improve existing modulation models describing how large scales alter heat transfer. Optimal oscillations will be designed using reinforcement learning. Extending inner-outer interaction models
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possible sounding capabilities with current laser-produced sources, and (2) implementing experiments to test the predictions of these calculations and optimize the sources. The missions follow these lines
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tasks that best suit your strengths. This could involve the design, optimization, and fabrication of advanced devices using numerical methods like FDTD; taking charge of spectroscopic experiments
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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intermediate host. Mathematical modeling is essential for anticipating the long-term impacts of gene drive interventions, optimizing strategies before implementation, and evaluating both their effectiveness and
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microstructure of bone tissue. This PhD project will investigate lattice structures designed to achieve optimal dynamic performance, as for instance advanced dampers to mitigate unwanted vibrations, or high
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) understanding of the mathematical foundations and principles of Machine Learning, Linear Algebra (vectorial and matricial operations, optimization), with a particular focus on Neural Networks, 3) problem solving
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intestinal duct section. To achieve this, we will address the inverse design problem using physics-informed machine learning that consists of determining the optimal structure and material distribution
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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 30 days ago
dispersion, crucial for high-frequency content in FWI. HPC readiness: The solver design will be optimized for modern heterogeneous clusters (CPU/GPU). Innovation opportunity: Potential integration into next