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clinical experts. You will conduct new academic research combining machine learning and medical physics. Your research will be published in reputable peer-reviewed journals. Additionally, you will regularly
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work in our multi-disciplinary team, including AI-experts, MRI-physics experts, and clinical experts. You will conduct new academic research combining machine learning and medical physics. Your research
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to: Development of computer models of the musculoskeletal system incorporating neural control pathways Train NMS model control policies via RL Your seconday tasks will include: Using learned NMS model control
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This four year fully funded PhD project investigates how complex temporalities of migration in urban contexts interact with migration and inclusion policies. As cities like Rotterdam and Bilbao exhibit varied
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- 1 fte Introduction This PhD position aims to investigate how complex temporalities of migration and mobility in urban contexts interact with policies aimed at migration and migration-related
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join us as a PhD candidate. You will work in a highly interdisciplinary group, at the intersection of physics, machine learning and theoretical neuroscience. Our group is focused on investigating
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to 1) Object-attribute compositionality to replace exhaustive data requirements with structured concept learning, 2) Bias detection and machine unlearning to identify and mitigate bias and shortcuts
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Learning. Work closely with the other PhDs and researchers on the project towards reaching the overall research goal. Contribute to educational activities (e.g. provide lectures, assist teachers, supervise
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transdisciplinary PhD position may be the perfect step for you. About the project In this four-year PhD project, you will investigate how citizen collectives (CCs) act as early detectors and mediators of societal
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. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . A PhD track at Radboud University gives you room to follow your