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Field
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intelligence (AI) is used not merely to optimize control but to discover the physical principles governing nonlinear quantum dynamics. I. SCIENTIFIC VISION Conventional quantum architectures — superconduct- ing
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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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, Paris 16th. Its 150 researchers (including 75 permanent members from Paris-Dauphine, CNRS, or INRIA) work on a wide range of topics, including nonlinear analysis, probability, optimization, finance, etc
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dissipative networks. We will view learning as a feedback interconnection of continuous-time (circuit) dynamics and an optimization algorithm. The key idea is to develop algorithms that minimise cost functions
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simulations aimed at analyzing wave propagation, identifying attenuation bandgaps, and investigating nonlinear dynamic effects. 3. Optimization of the geometric and mechanical configurations of the metamaterial
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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, scientific computing, and optimization). These full-time 9-month temporary positions are renewable twice depending on, as applicable, satisfactory teaching performance and research progress, for a total of
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validate material performance and guide further optimization. Funding category: Contrat doctoral Projet ANR FIRST-LIGHT PHD title: Doctorat de Chimie - Science des Matériaux PHD Country: France Where
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experimental constraints associated with the use of very short focal lengths to achieve ultra-high laser intensities. The first objective of the PhD project will be to determine the optimal parameters
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. The objective will be to determine the optimal correction strategies as a function of tissue type and imaging depth. A second objective will be to exploit this platform for organ-scale mapping of intrinsic label