16 physical-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Radboud University in Netherlands
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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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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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. Where to apply Website https://www.academictransfer.com/en/jobs/364067/phd-position-physics-informed-g… Requirements Specific Requirements You hold an MSc degree (or will obtain one before the starting
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the interdisciplinary Origins of Irreversibility project: one in mathematical physics, one in theoretical physics and one in the history of physics. Together, you will investigate one of the deepest
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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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spectrum of research topics in biochemistry, organic chemistry, condensed matter and molecular physics. In your role, you will actively work on the acquisition of external funding and build a research group
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spectrum of research topics in biochemistry, organic chemistry, condensed matter and molecular physics. In your role, you will actively work on the acquisition of external funding and build a research group
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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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, 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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movement sciences, biomedical engineering, artificial intelligence, computational neuroscience). You have a strong background in empirical research and computational modelling of sensorimotor control and an