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addresses this challenge in two ways: We investigate the fundamental neural mechanisms that control movement. We explore engineering-based solutions to restore function when these pathways are disrupted. As a
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Technology (PSST), which is funded by the Horizon Europe Marie Skłodowska-Curie Action. You will receive a joint doctorate from Radboud University and from the University of Lisbon. As a PhD candidate, you
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you an enthusiastic young scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a Master's degree in physics (photonics), electrical engineering or a related
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lead to debilitating motor disorders. Our research addresses this challenge in two ways: We investigate the fundamental neural mechanisms that control movement. We explore engineering-based solutions
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28 Aug 2025 Job Information Organisation/Company Radboud University Research Field Engineering » Electrical engineering Engineering » Electronic engineering Physics » Applied physics Physics
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-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction and social science, with lifespan perspectives. Using advanced
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poorly understood. The HUM.AI.N-ACCENT project aims to fill this gap by combining insights from cognitive psychology, neuroscience, AI engineering, human-computer interaction and social science, with
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://www.academictransfer.com/en/jobs/354978/phd-position-theory-of-learning… Requirements Specific Requirements You hold an MSc in physics, engineering physics or mathematics. You have a good command of analytical techniques
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, engineering physics or mathematics. You have a good command of analytical techniques used in the modelling of complex systems, and of statistical mechanics methods (particularly as used in the physics of spin
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/354409/phd-position-self-driving-labs-… Requirements Specific Requirements You have a Master’s degree in chemistry, chemical engineering, soft matter physics, or a related field. You are motivated by deep