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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 12 hours ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed and stochastic numerical optimization paradigms
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energy system and its environment (port) with scenarios. • Development of an optimal design method applied to the energy system simulation model. • Multi-criteria evaluation of the proposed energy systems
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to any changes in the network, be robust in the face of uncertainty, and remain flexible. In recent years, new strategies for the optimal management of distributed systems, based on analysis, simulation
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-based concretes and insulation, offer interesting thermal, acoustic, and environmental properties. The OPTIMALin project focuses on the evaluation and optimization of thermal and mechanical performance
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 12 hours ago
has worked for over a decade on advancing the theoretical foundations of reinforcement learning, using a combination of tools from statistics, optimization and control, in order to build more efficient
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for the tasks of WP3 of the project. Activities Optimize fermentation conditions using Y. lipolytica with industrial by-products and compare production yields to synthetic media; Optimize dye extraction
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collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description There is a need to develop optimized Mixed Matrix Membranes (MMMs) based on highly
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for chemical optimization through the massive use of digital technologies. The research fellow will join a multi-disciplinary and international team at the research institute CEISAM, working on the development