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their resources, risk factors, health and well-being with the help of interviews. In addition, the participants will take part in a 7-day "ecological momentary assessment" at each of these three measurement points
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), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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include Post Luxembourg (https://www.post.lu/) and Ohmio Europe (https://ohmio.com/). More information on the 5G Bridges programme can be found here: https://www.fnr.lu/results-5g-bridges-call/ This PhD