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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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for remote applications: A crucial aspect of this project will be the optimization and deployment of developed signal processing and machine learning algorithms onto resource-constrained edge devices
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of multiple modes of buses, AMOD vehicles, private cars, cyclists, and pedestrians, and optimizes multicriteria involving passenger delays, traffic efficiency, environmental impact, and equity, among others
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approach to (1) better understand and steer refrigeration processes or packaging design by optimizing for product quality loss and waste, and (2) connect the improved quality preservation from digital twins
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, ensuring stable operation even as system dynamics evolve. Recent advances in Modular Multilevel Converter (MMC) topologies, along with developments in battery and supercapacitor technologies, create new
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modeling, optimization, and/or data analytics. Description of the PhD topic (subproject C1 - New metrics for transportation system appraisal): Transportation systems must deliver “function” (i.e
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infrastructure to better predict and manage stormwater dynamics under climate-related uncertainty. It will also explore how to optimize design and operation strategies to adapt to future climate extremes. Possible
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oxidation and disinfection processes. Work together with researchers at multiple departments at DTU and NTNU Research activities will mainly be carried out at DTU Sustain with research visits in Norway
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collaborative settings and wish to play a key role in an EU-funded project with researchers from multiple countries? If so, this PhD position could be a good opportunity for you. This project focuses
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Vacancies PHD POSITION ON MULTILAYER GROWTH OPTIMIZATION BY HYBRID X-RAY METROLOGY (MOXY Key takeaways Nanometer-thin films are enabling factors in many advanced technology fields such as