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commitment to interdisciplinary research are especially encouraged to apply. Responsibilities will include: - Developing a computational Artificial Intelligence form finding design framework to shape
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Ref.: 532734 Work type: Full-time Department: Department of Urban Planning and Design (01300) Categories: Senior Research Staff & Post-doctoral Fellow The Department of Urban Planning and Design
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scientist to join our research investigating how constructed stormwater ponds function, to better design and manage their use to improve water quality. With funding from the Minnesota Stormwater Research
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics. The £1.23M project is funded by the UKRI Horizon
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scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy
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development. Basic Qualifications: A PhD in computer science/engineering, electrical engineering, data science or a related field completed within the last five years. Experience of AI and efficient computing
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thermal, structural, electrical, and mechanical properties. The researcher will also design and execute statistically rigorous experiments, develop publications and reports, and collaborate with internal
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results and renewal of the grant. Essential and Other Functions: 50% Conduct experiments Independently conduct experiments. 20% Design Experiments Design routine experiments outlined in the grant
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Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of MSc and BSc students Presentation of research