16 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" 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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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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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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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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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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children within authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide
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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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authentic educational settings. The project combines experimental research, classroom studies and computational modelling to better understand what makes children curious, how they decide which information to