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to the development of advanced control and energy management strategies for different energy systems. The SEA-POWER project, conducted in collaboration with VEBRAT E-Mobility Solutions, aims to investigate and enhance
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 6 days ago
theory, and data-driven methods. The postdoc will work in close collaboration with an interdisciplinary group of researchers and students in control theory, signal processing, neuroscience, and sports
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considered. This technique consists of extracting the molten polymer by capillary suction via a controlled heat treatment. For this, the parts are coated with a bed of ceramic powder which serves as a porous
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mathematics. The skills expected for the position are: - excellent command of the theory of random processes, in particular measure-valued Markov processes; - good general knowledge of population dynamics
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processes—to precisely control the composition, size, and distribution of these nanocatalysts. These materials, with their exceptional properties, are designed to accelerate CO₂ methanation, a critical
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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focuses on the transfer of ionic and electronic charges at the interface of materials, which are the cause of many limitations and degradation processes in batteries. The goal is to characterize the state
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and/or image processing * Strong proficiency in programming with Python and Matlab * Good command of English Knowledge of solid mechanics would be an asset, but is not essential. Website for additional
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are redundantly entangled. The realization of a gate operation on one qubit, followed by its measurement, influences the other qubits with which it was entangled, thereby effectively performing an operation on them
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of the variability and uncertainty of simulated outputs • an explicit quantification of prediction error • an interpretable and controllable structure (e.g., Gaussian processes, …) 2. Model industrial system