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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector
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Numerical Simulations of Complex Dynamic Systems, E.g. Turbulence, Hurricane. The duty of the role is within the range of: 1) developing novel algorithms on data analyses and data mining, e.g. Large Models
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Priority Programme SPP2311 (German Research Council), the Chair of Numerical Mathematics under the leadership of Frau Prof. Dr. Barbara Wohlmuth is seeking a candidate for a PhD or postdoctoral position (100
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states
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for a University Assistant Praedoc to join the dynamic research teams led by Assoz. Prof. Dr. Philipp Petersen, M.Sc.. The research areas developed by the team are in particular related to theoretical
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is developing cutting-edge research on all aspects of computational imaging, from theory and algorithms, to applications in astronomy and medicine. Dr Wiaux is a Professor in the School of Engineering
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(networked) dynamical systems" (broadly defined) and there is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving efficient algorithms with provable
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of