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integrated from wearable sensors, and processed by AI tools to support AYA patients in their journey to recovery. This position is part of the European Union Project LATE-AYA, and you will collaborate within a
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5.0. Information and application Are you interested in being part of our team? Please submit your application before June 15, 2025 and include the following: A cover letter (maximum 2 pages A4
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image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
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through even the most complex structures and materials, enabling microscopy deep inside the organ on chip systems. This technique was invented at the University of Twente, and this project is part of our
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and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial
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value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and