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system, or added through storage technologies. The PhD student will work in close interaction with the two PhD students of the other KU Leuven teams and a post-doctoral researcher, assisted by
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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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on the H1 standard is available at: https://students.unimelb.edu.au/course-admin/results . You have a strong interest in coastal and offshore engineering, renewable energy systems, and the interaction between
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secure interaction between converters and the surrounding network has therefore emerged as one of the most challenging topics in modern power systems research. We seek an exceptional postdoctoral
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interaction with clinical partners and participant-based data collection.• Willingness to participate in data collection and real-world experiments We offer a fully funded, full-time PhD position within
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data collection and analysis, including neuroimaging or behavioral data•Languages: Dutch is strongly preferred, as the project involves extensive interaction with Dutch-speaking participants; English
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English (written and verbal communication) for scientific interactions required Strong motivation is a must Willingness to work at interdisciplinary boundaries The successful candidate will be offered a PhD
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close interaction with academic and industrial stakeholders. The ideal candidate: holds a Master's degree in Engineering Technology, Bioscience Engineering, or a related discipline. has a strong interest
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developments in machine learning, the project investigates how runners’ shared social identity can influence their movement synchrony, physical load, and interaction with the running infrastructures. Using
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employed for the auralization of an existing electric vehicle. The PhD is supervised by prof. Dionysios Panagiotopoulos (https://www.kuleuven.be/wieiswie/nl/person/00120151 ) from the KU Leuven LMSD division