42 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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satisfactory performance) The Role The appointee will be responsible for the following duties under the HealthEGuide Project ("Application of Health Economic Methods in Hong Kong’s Healthcare System: Evidence
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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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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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social sciences research methods Applicants should indicate which mentors from FOSS (HKU) and ISR (Michigan) they could work with. There is no need to get their interest and support in mentoring before
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methods, protocols, and reports and provide training on processes and equipment. Supervise and co-supervise undergraduate and postgraduate students. Disseminate research findings through the preparation
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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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adequate knowledge of quantitative research methods, as well as a good command of written English. Experience and passion in research topics of palliative and end-of-life care and public health will be