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design solutions for the highly complex problems of today and tomorrow. Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video. Information Do you recognize yourself in
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Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number V39.7374 Job description Are you passionate about addressing complex, multidisciplinary
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efficiency in processing complex, real-time tasks with minimal energy in uncertain conditions. This limitation stems from a fundamental difference in design philosophy; while nature leverages distributed
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training data. This PhD project is designed to research various deep-learning methods to perform vehicle perception tasks, such as collision risk prediction, using imaging radar data. The aim is to increase
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. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex
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of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and
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responsible for the study design in collaboration with our clinical partner. In particular, the candidate will define the measurement setup. To design and implement the algorithms for the extraction and
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for the electrophysiological and ultrasound data acquisition, being responsible for the study design. In particular, the candidate will write the documentation for ethical approval and execute the clinical study and data
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to design, implement, and test various concepts of pressure microsensors. These sensors must meet stringent criteria, including sensitivity to the low flow rates of aqueous humor and the relatively small
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objective will be to design, implement, and test various concepts of sweat sampling strategies. Several challenges must be addressed like efficient sweat collection, rapid response, continuous flow, and