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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month 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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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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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
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-21-CE08-007 ended in March 2025). The work in N POLAR will focus on the development and optimization of this innovative process (hybrid semiconductor/metal/semiconductor heterostructures) in order to
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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improved in several stages and continues to evolve. It will therefore be a question of carrying out the necessary technical upgrades and optimizing (fine-tuning) the different characterizations on reference
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and apply multi-objective analyses based on Pareto optimality to 2D and 3D root system architectures. Extend the Ariadne pipeline to integrate new tradeoffs (robustness, redundancy, transport capacity