107 computer-science-"https:"-"https:"-"https:" positions at THE UNIVERSITY OF HONG KONG
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(Ref.: 536634). To commence from September 1, 2026 to August 31, 2027. Applicants should possess a Bachelor's degree in STEAM education, artificial intelligence, education, science, mathematics
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possess a Ph.D. degree in Social Sciences, Social Work, Psychology, Public Health, Biostatistics, or a related discipline, with strong sense of responsibility and problem-solving skills, effective
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, Faculty of Social Sciences. Major tasks include: Devising and designing research studies and evaluation frameworks. Implementing research activities and programme evaluation. Collecting and analysing data
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, Information Systems, Computer Science, or related disciplines. A minimum of 3 years’ experience in epidemiology, data science, data analysis, or data management field. Proficiency in analytics tools such as
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research assistant position are expected to have prior experience in managing research projects. The appointee will work on various projects related to children’s and adolescents’ mathematics and science
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materials, resources, and programme content Managing research data, performing statistical analysis, and preparing reports Monitoring project progress and ensuring timelines are met Supervising junior
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. Applicants should possess a Ph.D. degree in education, social sciences, STEAM or science education, artificial intelligence, or a related discipline, with experience in analysing survey and assessment data
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education, AI in science education, self-directed learning and innovation leadership; work collaboratively with project teachers in designing STEAM curricula that integrate AI technologies and incorporate
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of Education (Ref.: 536902), to commence from September 2026 until August 31, 2027, with the possibility of renewal. Applicants should possess (i) a Master’s degree in Psychology, Neuroscience, Cognitive Science
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
. Applicants should possess a doctoral or master’s degree in Education, the Learning Sciences or a related discipline, with a strong background in technology-enhanced learning and assessment, learning design and