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Description The design, numerical simulation and shape optimization if large scale aerospace structures are challenging tasks as these structures are composed of hundreds of stiffeners. Constructing precise and
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
…), and (2) optimization, where the forecasts are used as input to optimization tools for congestion management, economic dispatch, unit commitment, electricity trading, reserves estimation and other
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and Control Theory - Signal Processing - Interconnected systems - Estimation filters - Convex Optimization For more details, see (p.5) http://www.ampere-lab.fr/IMG/pdf/1_sujet_systhei.pdf Proposal 2
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associated with convergence and optimality of the computed solutions. Although the use of this tool is proposed for energy systems, the proposal can be easily extended to processing plants where
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
Health Organization, over 5% of the world’s population, i.e., 360 million people, has disabling hearing loss (328 million adults and 32 million children). Cochlear implant surgery can be used
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
for the management of electricity markets. At the scientific level, the integration of pollution constraints and learning models into ``multi-leader single follower" optimization models represents a major challenge
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to characterize non-classical quantum states of light, and optimize processes to produce them. Context of the research topic and proposed workplan Non-classical (a.k.a. non-Gaussian) states of light like photon
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language models and computational tools. This approach will centralize the end-to-end processing, transforming raw experimental data into an enriched graph exploitable via natural language. Evaluation will
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broadcast communication protocols. Solid background in signal processing, probability, statistics, and optimization techniques. Experience with mathematical modeling of communication systems. Basic
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- Strong foundations in medical imaging, image processing, and deep learning - Proficiency in Python and PyTorch - Experience with numerical optimization and inverse problems - Interdisciplinary