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participate. The focal region is the Alblasserwaard. Your duties and responsibilities include: Develop a research proposal and a Training and Supervision Plan, to structure the 4-year PhD trajectory. Perform
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indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody
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to develop a new generation of traffic prediction methods, combining traffic flow theory with machine learning, and with that, the best of both worlds: theory and logic where necessary, data-driven where
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“Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies. The project aims to develop a
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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deterioration. This PhD project addresses this challenge by developing a novel “Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient
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together 8 European universities and 14 societal partners in an ambitious interdisciplinary collaboration. Our shared mission is to advance the research on data-driven optimization methods and train a new
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, rendering such models robust. The PhD project aims to go the next step, closing the loop between failure and adaptation by developing resilient machine learning. The developed methods will detect when
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will then develop XR applications that provide real-time guidance through visual, auditory, or haptic feedback in everyday situations. Using wearable devices, machine learning, and cognitive models you
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patients. Join TU Delft and LUMC to develop a transcutaneous vascular access, uniting biomaterials, medical technology and clinical nephrology. Job description Fundamental biomedical research and clinical