81 systems-science-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at THE UNIVERSITY OF HONG KONG
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for developing and leading educational programmes at the School of Innovation in the areas of design, technology and entrepreneurship. He/She is expected to enrich educational programmes through engagement with
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discipline. A strong research background in reproductive biology is essential, with particular expertise in the age-related decline of ovarian function and its implications for fertility and reproductive
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academic excellence. It is the mission of the Department to promote quality primary care through education, patient-centred service and research in family medicine. Applicants should possess a medical degree
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Ref.: 534579 Work type: Full-time Department: Department of Chemistry (25200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Officer in
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administer questionnaires, analyze data, assist in report writing, and writing-up of manuscripts Perform other duties as assigned Requirements A Master's degree or above in Nursing Studies, Medical Sciences
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large-scale, mental health and well-being project for primary schools in Hong Kong, under Department of Psychology, Faculty of Social Sciences. He/She will be responsible for the smooth operation of
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) would be an advantage. Direct communication with patients is required and the languages employed are English, Cantonese and Putonghua. They should demonstrate a strong commitment to clinical service and
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the Department of Psychology (Ref.: 534589) (to commence in September 2026, on a two-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15
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command of written and spoken English and Chinese is required. The appointees are expected to be involved in research projects pertaining to various disciplines of Chinese Medicine for the treatment
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to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science