21 electrical-and-computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at Radboud University in Netherlands
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Are you interested in advanced computational modelling and state-of-the-art scientific software? Join us in creating the Bayesian multiverse: a computational framework for robust statistical analyses
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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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) 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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employed at the Behavioural Science Institute (BSI) , participate in the Experimental Psychopathology and Treatment research programme, and work closely together with the Economics Departments at Radboud and
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of quantum materials, ultra-fast dynamics of spins, charge and lattice, as well as out-of-equilibrium phenomena and THz spectroscopy. Within your field of expertise, you will also actively contribute to our
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holographic systems out of equilibrium, with possible topics including dynamical and cosmological horizons, gravitational entropy, Noether charge methods, holographic coarse-graining, chaos, black hole heat
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resonance techniques at the highest DC magnetic fields, control of quantum materials, ultra-fast dynamics of spins, charge and lattice, as well as out-of-equilibrium phenomena and THz spectroscopy. Within
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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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a strong programme in magnet technology and free-electron laser technology and operates as a national partnership together with several national stakeholders. As an NWO research institute, HFML-FELIX
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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