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farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome
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markets and digital technologies in Luxembourg, together with several of the EU's main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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Department of Mechanical Engineering and the AI research group at the Vrije Universiteit Brussel (VUB) are looking for a PhD candidate to contribute to research on the optimization of a hybrid, laser-based
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, contains: The VUB Acoustics and Vibrations Research group has a core focus on wind energy as a member of OWI-lab. Our vision is to bring methodological advancements all the way to application in industry
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for Energy, Transport and Climate provides support to EU policies in the field of sustainable, safe, secure and efficient energy production, distribution and use. Fostering sustainable and efficient mobility
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of hydrogen fuel cell vehicles depends both on the development of safe storage options in the vehicle, as well as a supporting refueling infrastructure.This PhD vacancy is focused on the experimental and
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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sustainability assessment of pharmaceuticals by enabling early-stage prediction of environmental impacts, optimizing synthetic pathways, and supporting data-driven decision-making for greener drug development
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designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy