619 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Hong Kong
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The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning
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Mathematics plus at least five years of relevant experience in health care field; or a combination of results in five HKDSE subjects of Level 2 in New Senior Secondary subjects / "Attained" in Applied Learning
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entrepreneurial funding programmes and knowledge transfer activities in Hong Kong and the Chinese Mainland; (b) organise, execute and monitor the delivery of different entrepreneurial learning and training
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room training, and physical wellness courses; (b) design and teach new sports courses to enrich the physical education curriculum; (c) manage and coach sports teams, and to provide support to
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) Caring Team (i) to enhance accessibility to learning experience for students with SEN; (ii) to raise awareness and strengthen capacity towards students with SEN among PolyU community; and (iii) to organise
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to support teaching and learning, including curriculum development, student supervision, and continuous improvement initiatives; (c) oversee project planning, execution, and delivery to ensure high-quality
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M.B.B.S or M.D. degree and be highly motivated in teaching and learning, with demonstrated experience and excellence in the teaching of physiology discipline for medical, nursing, pharmacy, and biomedical
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-year fixed-term basis, with the possibility of renewal. Applicants should have a Ph.D. and M.B.B.S or M.D. degree and be highly motivated in teaching and learning, with demonstrated experience and
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a flipped learning signature showcase”. Qualifications Applicants should have an honours degree or an equivalent qualification. Applicants are invited to contact Dr Tina Jia at telephone number 3400
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: Clinical services; Teaching and learning; Knowledge exchange and services; and Research (basic science, translational and/or clinical research). Preference will be given to those with demonstrated