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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 28 days ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
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approaches to avoid costly design and fabrication cycles for the optimization of these circuits are possible, in particular the use of Look-Up-Table (LUT)-based techniques that exploit the characterization
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context Liquid-liquid extraction processes are now essential in the mining
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for automatic process generation. Generative approaches, using deep learning algorithms, can generate new process structures, surpassing conventional optimization techniques. Objectives of the ATHENA project
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, extinctions, and environmental change; ● Running simulations and scenario analyses to explore how different discounting rules or time preferences shift optimal conservation choices; ● Fitting models
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controlled power electronics to optimize the overall efficiency of electromechanical conversion. Ultimately, the system will be integrated into two thermal energy conversion cycles: a thermochemical cycle and
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Europe and UCLA), the PhD candidate will carry out both experimental and numerical investigations to develop an innovative tool for design optimization leading to cost-effective and advanced vortex