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will be extended to three-dimensional roughness configurations, requiring the development of dedicated numerical tools optimized for high-performance computing environments. Results will be
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(neutral and doped quantum dots in micropillars, NV centers in waveguides, optical nonlinearities, etc.). Approaches may be analytical, based on the collision model, or numerical. The postdoctoral researcher
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candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
process control requiring high-performance numerical tools for upstream optimization of the process PhD objectives: The CINDERELLA project aims to accelerate the mastery of the L-PBF process by considering
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California Polytechnic State University | San Luis Obispo, California | United States | about 11 hours ago
, computational methods, numerical optimization, machine learning, data science, and mathematical modeling. Bailey College is committed to maintaining the excellence of the University and to offering our students a
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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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for screening combinatorial libraries from microsyntheses would be highly valuable for lead discovery optimization and should revitalize drug discovery programs. Thesis project: In this context, we propose
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Electrical Engineering or Physics or Materials Science. Experience on numerically modeling light-matter interactions, designing photonic devices, and employing optimization approaches. Experience in project
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learning architectures for scientific or high-performance computing applications. Background in software performance evaluation, profiling, and optimization on CPUs and GPUs. Knowledge of common numerical