161 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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@hku.hk . Details of Professor Ma’s research can also be found at http://thesmalab.com/ . Information about the School of Biomedical Sciences can be obtained at http://www.sbms.hku.hk/ . A highly
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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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key role in leading the development of academic scholarship and teaching programmes of the Department. Information about the Department can be obtained at https://obsgyn.med.hku.hk/ . A highly
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standards of excellence in its research pursuits, scholarship, teaching and learning, and service to the community. The University is consistently ranked amongst the world’s top universities: 11th in the QS
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information about the Department can be found at https://ppa.hku.hk/ . Applicants should hold a Ph.D. degree and demonstrate excellence in research and teaching. The Department welcomes applications from
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at the tertiary level. They should have a proven track record of excellence in teaching Chinese-English translation and/or interpreting courses. Preference will be given to those with expertise in computer-assisted
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with each other and other members of the Faculty. Fellows will be expected to teach two courses during the term of their appointment and are required to submit a brief annual summary of their activities
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will start as soon as possible and continue until September 19, 2026, or until the post is filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/408930
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teaching departments can be obtained at https://www.med.hku.hk/en/depts/teaching . A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and
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have an outstanding and consistent record of excellence in teaching and learning and/or knowledge exchange, services and administration. Preference will be given to those with demonstrated administrative