50 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with a particular
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on computational and theoretical condensed matter physics. Areas of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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knowledge of microfluidic automation, including actuators like pumps, valves, and electromagnetic components, along with heat transfer concepts. Familiarity with 3D printing or other rapid prototyping methods
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electromagnetic components, along with heat transfer concepts. Familiarity with 3D printing or other rapid prototyping methods will also be considered as an advantage. Strong problem-solving skills, effective
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organoid development, under the supervision of Professor Jade L. L. Teng. For inquiries, please contact Professor Teng at llteng@hku.hk . Further information about the Faculty can be found at https
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laboratory management, training, and method development Requirements PhD in Earth Sciences, Chemistry, or a related field Hands-on experience with MC-ICP-MS, TIMS, and nitrogen and noble gas analysis
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, and project funder. Initiate and contribute to grant writing activities. Write study-specific procedures for analytical methods, protocols, and reports and provide training on processes and equipment
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to formulate mathematical models of the problems and develop efficient solution methods, particularly by leveraging techniques from machine learning and operations research. b) The applicants are expected
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for analytical methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through