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date) 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
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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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) 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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17 Sep 2026 Job Information Organisation/Company Radboud University Research Field Physics » Mathematical physics Physics » Statistical physics Researcher Profile Recognised Researcher (R2
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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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for Physics and Astronomy. Within your field of expertise, you will actively contribute to our institute's user programme and collaborate with researchers within HFML-FELIX, the national HFML-FELIX partnership
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your field of expertise, you will also actively contribute to our institute's user programme and collaborate with researchers within HFML-FELIX and the national HFML-FELIX partnership, as well as with
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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 Maastricht
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institute's user programme and collaborate with researchers within HFML-FELIX and the national HFML-FELIX partnership, as well as with national and international user groups. Researchers at HFML-FELIX use
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in advanced spectroscopy in high magnetic fields and with intense infrared/THz radiation. As an Associate or Full Professor of Science of High Magnetic Fields, you will develop your research programme