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/e for tactile sensor electronics. Contribute to the development of numerical models to simulate soft, large-area robotic skin with embedded tactile sensors, with assistance from the Computer
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Join the University of Twente’s Power Electronics group to pioneer the next generation of wide-bandgap, high-efficiency converters for solar-integrated electric buses and last-mile delivery vehicles. This PhD will develop automotive-grade DC-DC and bidirectional converter systems that enable...
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application letter. A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes
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We are seeking a highly motivated PhD candidate to join a project focused on developing a clinically compliant wireless platform for navigated capsule endoscopy and lesion detection. The research will investigate novel strategies for magnetic navigation, real-time localization, and robotic...
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, exposure to environmental risks, and the adverse lifestyle impacts from living in a city. There is no shortage of evidence-based interventions that combat CVD, including educational programmes, screening
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? The circular economy is a cornerstone of the European Green Deal, yet current legal frameworks remain too focused on linear product lifespans. Existing initiatives like the Circular Economy Action Plan
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and backgrounds. The Faculty has six departments: Biology, Pharmaceutical Sciences, Information & Computing Sciences, Physics, Chemistry and Mathematics. Together, we work on excellent research and
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University of Technology in the department of Mechanical Engineering, as well as the departments of Electrical Engineering and Mathematics and Computer Science. You will have the chance to collaborate with a
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Will you advance the state-of-art in 6G communication networks? Optical wireless links using highly directional steerable laser beams can securely serve a high density of devices at high data rates. Your project optimizes energy efficiency and develops new features such as positioning and...
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Patient-derived organoids are the hallmark of personalized medicine with seemingly endless possibilities to match the right treatment to the right patient. As organoid data are often longitudinal in nature (e.g. expressed by growth curves), can be derived from various markers, and can be...