67 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" Postdoctoral positions at THE UNIVERSITY OF HONG KONG in Hong Kong
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the project with major tasks including: organising training courses and public education events implementing research and programme evaluation collecting and analyzing data writing technical reports on research
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Ref.: 534276 Work type: Full-time Department: Department of Chemistry (25200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral
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Ref.: 534108 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral
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Ref.: 534106 Work type: Full-time Department: School of Biomedical Sciences (22600) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral
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with external parties. Preference will be given to those with experience in managing projects and/or writing academic reports. The appointee will assist the Principal Investigator (Professor Sally Cao
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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in biological science, biomedical sciences, bioinformatics or related disciplines. They should be self-driven, highly
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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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’ self-directed learning and Chinese online reading competencies. He/She will assist the Project Leader in overseeing the research aspects of the project, analyse quantitative and qualitative data and
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the possibility of renewal subject to satisfactory performance. Applicants should have a Ph.D. in bioinformatics, genetics, computational biology or other relevant disciplines. Experience in cancer research and/or
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Ph.D. degree in Epidemiology, Biomedical Sciences, Computer Science, Data Science, or related disciplines. A proven track record in peer-reviewed publications and research experience in computer graphics