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for these new solution methods will be derived. This position is part of a larger research project “Discrete Decision Making under Uncertainty”, in which researchers work on developing new theory, algorithms, and
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strategies for advanced proton beam treatment planning in MR magnetic fields. Your tasks Development of scientific results in the field of MR-integrated proton therapy in the research group ‘Experimental MR
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that are algorithmically generated, they need to develop critical digital literacy skills that allow them to distinguish between different sources, genres and content. This project studies how young people’s cognitive
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. The advertised position aims to develop data-driven prediction algorithms in the context of various diagnostic disciplines. In a first step, prediction models for single modalities are to be developed for selected
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. You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in the eDIAMOND project, namely
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for space logistics. With the development of mathematical models and optimisation algorithms, we aim to support strategical, tactical and operational decisions in the context of the deployment of in-orbit
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Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 3 months ago
conducted under the co-supervision of Dr. Z.A. Dahi (ISFP, Inria Starting Faculty Position) and Prof. Bilel Derbel. Both supervisors belong to the BONUS research group at the Inria research center of the
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Reference Number BAP-2025-157 Is the Job related to staff position within a Research Infrastructure? No Offer Description Your work will be on the development of one or several of our current research topics
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
, renewable generation), as well as optimization algorithms for trading of VPPs, optimal power flow, congestion management, microgrids scheduling and other applications. PERSEE has developed first approaches
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applications by developing pioneering innovative models and design procedures for custom-made magnetic components. The enhanced design of these components plays a crucial role in the ongoing energy transition