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, remanufacturing, and recycling workflows.At the same time, Augmented and Virtual Reality (AR/VR) technologies have demonstrated strong potential to support complex manual operations by providing interactive, in
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the design of these systems to withstand such events. This PhD project aims to improve understanding of how extreme waves interact with offshore floating solar platforms, with the goal of supporting safer and
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interaction between runners and the infrastructure will be studied. Recommendations will be formulated for representative loading scenarios to support the design of infrastructure. Finally, the project will
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, artificial intelligence, food technology and sustainability from KU Leuven, ILVO and Artevelde University College of Applied Sciences. The PhD candidate will be responsible for:•Designing and developing
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engineering stimulated by recent developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with
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assessment approaches that combine existing secondary datasets with targeted primary data from food producers. Participate in the design and evaluation of innovative multi-dimensional front-of-package
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on the nuclear engineering aspects of flexible reactor operation. The work combines reactor physics, thermal-hydraulics, model reduction, and control design. The main research objectives are: Development of a high
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political dialogue unfolds in real human-AI interactions, and with what consequences for political attitudes and behaviour. The project adopts a multi-method approach, including survey research, qualitative