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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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, from medical imaging—where we design advanced tools for diagnosis and decision support—to general vision tasks such as autonomous navigation, image-based localization, 3D reconstruction, and object
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500 life cycle experts. We work to advance and integrate life cycle action in all decision-making processes with the aim to enhance resource efficiency, promote a circular economy, and foster innovation
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about 500 life cycle experts. We work to advance and integrate life cycle action in all decision-making processes. We aim to enhance resource efficiency, promote a circular economy, and foster innovation
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include structural integrity, fatigue and fracture mechanics, collision survivability, hull design, risk and reliability analysis, ship resistance and motions, and propulsion systems. Our research spans
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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training systems. Furthermore, we aim to develop a measurement framework to assess the impact of such attacks on training performance, adversary costs, and model accuracy. Our ultimate goal is to design a
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domain knowledge and trained models on similar problems can be both incorporated to train better models and guide researchers to design better experiments. The project will be in collaboration with other