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Radboud Universiteit, Institute for Mathematics, Astrophysics and Particle Physics Position ID: Radboud Universiteit-Institute for Mathematics, Astrophysics and Particle Physics
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environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design principles
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experience in Computer Science, Mathematics, Statistics, or Physics, or a related discipline; You’re excited about research and you are motivated to explore the areas of differential and probabilistic
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: Completed (or in the process of completion) a relevant MSc degree in computer science, systems and control, engineering, applied mathematics, or a related field. A strong background or interest in formal
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: Completed (or in the process of completion) a relevant MSc degree in computer science, systems and control, engineering, applied mathematics, or a related field. A strong background or interest in formal
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in long-time simulations. The research combines fundamental mathematical theory with applications in areas such as plasma physics, molecular dynamics, and medical physics. In particular, the work
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, Mathematics, Statistics, or Physics, or a related discipline; You’re excited about research and you are motivated to explore the areas of differential and probabilistic programming as well as programming
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. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
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contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even
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mathematical modeling; fundamental understanding of fluid mechanics and soft matter physics; good quantitative skills and strong analytical capabilities; proven experience with experimental image and data