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on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
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nature. The PhD candidate will focus on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order
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Vacancies PhD position on Stochastic geometric numerical methods Key takeaways Are you passionate about developing cutting-edge numerical algorithms at the intersection of geometry, stochastic
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of EU digital and data regulation? And lead the organisation of an academic workshop and become the co-editor of a special journal issue on artificial secrecy and algorithmic transparency? How does EU law
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match human expectations. It is a major challenge to develop agents and frameworks that account for uncertainty, risk and interaction in the way humans do. As human behavior depends on a tightly
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sufficiently “compact” (i.e. algorithmically small and computationally efficient) to enable incorporation in integrated PED models. The development of these compact models will involve collaboration with several
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algorithms from medical records, improving Astronaut’s medical monitoring during missions and throughout their career; Develop automated workflow for data extraction and import; Support development
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-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped
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software development (e.g., treatment planning tools, imaging algorithms, AI-based applications). Excellent collaboration and communication skills. Fluency in English (spoken and written); Dutch language
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such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop