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Field
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(multilayer) low-rank tensor decompositions [5,6,7], which supply a rigorous mathematical framework to develop new algorithms and model architectures and to understand their behavior. These techniques will be
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on the development of deep learning methods for reconstruction and physics analysis of the ATLAS experiment data. The successful candidate will develop innovative analysis methods for the reconstruction or the physics
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into refining computational strategies for large-scale molecular simulations in materials science and computational physics. The project will involve substantial numerical development, including algorithm design
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. However, conventional neural networks are not well-suited to the computational constraints of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted computations
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of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
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Paris, is one of France's top engineering schools. The mission of the school is to educate, imagine, and design digital technologies for a society that respects people and their environment. We
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single needle, a robotic platform introduces complex motion control challenges that require the development of adaptive toolpath algorithm. This algorithm will ensure continuous and smooth deposition while
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of Opportunity (SOP) for geolocation. The laboratory has developed algorithms to perform geolocation using such signals. We now wish to move on to an experimental phase. The mission will take place at the SAMOVAR
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membership in IMT and its strong regional roots, IMT Mines Alès offers its students the best opportunities to reach their full potential and become responsible contributors to national development while
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resources to carry out your assignments. YOUR ASSIGNMENTS: The internship will develop and implement scalable, high‑performance algorithms for transient Lindblad dynamics tailored to the multi‑level Rydberg