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of robustness, safety, trust, reliability, tractability, scalability, interpretability and explainability of AI. The UAI group is looking for a highly motivated and skilled PhD candidate to work in the area of
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motivated and skilled PhD candidate to work in the area of probabilistic machine learning. The position is fully funded for a term of four years. The research direction will be determined together
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computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
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) collaborating with machine learning experts (a second PhD student in USA) integrating personalised AI into meaningful assistive technology interventions (4) critically evaluating methodological approaches in
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motivated PhD candidates that, combining model-based (physics) and data-driven (machine-learning) approaches, will develop innovative, highly accurate and highly efficient solvers for rarefied gas flows
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Are you eager to make a difference in the advancement of theoretical AI and deep learning in particular? Then this PhD position at Eindhoven University of Technology might be for you. Irène Curie
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English. An aptitude for independent work. A background in computer science, especially machine learning, is a plus. Conditions of employment A meaningful job in a dynamic and ambitious university, in
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computing, advanced machine learning applications, and the deployment of 5G and future 6G systems, the size and traffic of data centers is steadily growing. The proliferation of data centers and the need
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knowledge exchange and learning communities between different fields of sensitive settings through dissemination and international network activities. This PhD project aims to make several contributions
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of machine capabilities. However, learning these models requires direct access to vast data repositories, which poses significant privacy and logistical challenges, especially in the health sensing domain