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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
(or surrogate models) are approximations of classical numerical solvers with a very low computational cost. They form the core of a digital twin. Using machine learning techniques to build these meta-models
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. Characterize the neural circuits underlying auditory categorization. 3. Manipulate auditory mental categories to optimize behavioral flexibility. This PhD project, at the interface between Physics and
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microscopy), and energetic (combustion rates, ignition energies via Langlie method) analysis, and (iii) numerical modeling of combustion phenomena, with experimental validation
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. Numerous logistical and ethical difficulties hamper the implementation of clinical trials and the generation of evidence on effective interventions, leading to non-standardized and sub-optimal care
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fiber-based platforms for far-infrared spectroscopy. Methodology and tasks : The PhD candidate will be responsible for the synthesis, optimization, and purification of Te-rich chalcogenide glasses for far
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the development of circular, low-carbon industrial value chains. UTC/TIMR The TIMR research unit (UTC-ESCOM- https://timr.utc.fr/ ) aims to develop knowledge and know-how for the transformation processes
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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stands for Intelligent, Innovative, Integrative Water Systems and addresses the urgent need to optimize water resources management by providing a comprehensive solution to upgrade, optimally operate and
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Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA) | Montpellier, Languedoc Roussillon | France | 2 months ago
. An optimization effort will be conducted at the module level, with a strong emphasis on structure–actuator coupling, in order to improve energy efficiency (high energy density, low consumption
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lattices. • Implement and optimize RF reflectometry and dispersive sensing techniques for the measurement of complex admittance and charge susceptibility. • Design, characterize and improve microwave