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Field
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. The focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies
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19 Aug 2026 Job Information Organisation/Company KU LEUVEN Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Computer engineering Computer
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sustainable future, including but not limited to, studies related to new technologies, process integration and policy measures, as well as overall energy system aspects at local, national and supranational
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-472 Is the Job related to staff position within a Research Infrastructure? No Offer Description The field of combinatorial optimization is concerned with developing generic tools that take a
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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utilize low-grade waste heat. The project aims to develop methods for the design, optimization, and operation of integrated systems that maximize both economic performance and environmental benefits
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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above 99% efficiency, the losses are small compared with the power being processed. Quantifying these losses reliably therefore requires more than a conventional power measurement. In this PhD project
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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and