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holder will lead research activities centred on reinforcement learning, optimal control, and simulation-based policy development, using robotic and biomechanical simulation environments to design and
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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to optimize clinical trial designs for neuromuscular and neurodegenerative disorders. Postdoctoral researchers will engage in multiple projects focused on developing data-driven disease-drug-trial modeling and
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week/ 50 %), initially limited to two years with possibility of continued employment. The successful candidate will be involved in operating, maintaining, and optimizing high-end imaging and spatial
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and optimize sulfur cathode materials and related host structures Perform physical, chemical, and structural characterization of battery material Fabricate and evaluate lithium–sulfur cells in coin-cell
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systems. Application areas include hot-spot cooling, energy harvesting for IoT devices, and sensorics. Main tasks: Design, synthesis, and optimization of thermoelectric thin films (n- and p-type
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher on hybrid AI-optimization modelling The Energy Science Center (ESC) at
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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of the School, the Institut Mines-Télécom and the Institut Polytechnique de Paris Job requirements We are looking for a candidate with in-depth theoretical and practical knowledge in the field of optimization
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
, energy optimization, and sustainable urban mobility. The position focuses on the development of a hybrid electromobility model within the eMob-Twin platform, combining large-scale mobility data from