161 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at THE UNIVERSITY OF HONG KONG
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post(s). Applicants should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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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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’ post-qualification experience, preferably in the field of education. They should also have a good command of written and spoken Chinese, and experience in IT applications and Chinese computer operations
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intelligence and machine learning in mental health, big data analytics, and pharmacoepidemiology. Applicants who adopt multidisciplinary approaches to address key challenges in psychiatry and mental health
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Science, Public Policy or a relevant social science discipline with strong quantitative focus. Priority will be given to those with: The ability to teach Machine Learning, Programming (Python-based
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evidenced by positive student feedback; (b) teach across a range of courses; (c) produce, evaluate and revise teaching and learning materials; (d) work on meeting self-identified professional development
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evidenced by positive student feedback; (b) teach across a range of courses; (c) produce, evaluate and revise innovative teaching and learning materials; (d) work on meeting self-identified professional
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learning and/or knowledge exchange, services and administration. Preference will be given to those with demonstrated administrative leadership and management experience in universities or healthcare settings
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis