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, among others, researchers from Radboud University, Maastricht University, Amsterdam UMC, the University of Amsterdam, Erasmus University Rotterdam, Eindhoven University of Technology, the International
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cutting-edge physiological measurements, motion analysis and wearable technology to uncover how fatigue shapes mobility in daily life. This PhD project investigates how fatigue affects gait, balance and
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) in computer science, artificial intelligence, data science, applied mathematics, physics, electrical engineering, or a related field. You have a solid background in machine learning; experience with
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movement sciences, biomedical engineering, artificial intelligence, computational neuroscience). You have a strong background in empirical research and computational modelling of sensorimotor control and an
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taken to the extremes of modern-day technology, both in terms of (persistent) magnetic field strength and intense radiation in the infrared and terahertz (THz) range of the electromagnetic spectrum. Our
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is external) , a unique international research facility, our mission is to perform groundbreaking research by enabling molecules and materials to be taken to the extremes of modern-day technology
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challenge as we lack a blueprint that allows for a bottom-up engineering approach. At the same time, there is an experimental bottleneck: the number of ingredients (lipids, amino acids, cell-free gene
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engines and quantum field theory in curved space-time. These two parts of the project are designed to interact closely: mathematical tools concerning entropy, randomness and operator algebras feed
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wearable technology contribute to the reduction of coercion, and when might it create new ethical concerns? What practical ethical dilemmas arise when physiological data are used in clinical teams
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wearable technology contribute to the reduction of coercion, and when might it create new ethical concerns? What practical ethical dilemmas arise when physiological data are used in clinical teams