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22 Aug 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Mathematics Researcher Profile Recognised Researcher (R2) Established
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Post-doctoral Fellow/Senior Research Assistant in the Division of Health Economics, Policy and Management, School of Public Health (Ref.: 533136), to commence as soon as possible for a one-year temporary
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25 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Hong
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28 Aug 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Medical sciences Chemistry Psychological sciences Researcher Profile Recognised
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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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19 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Medical sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
6 Sep 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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details) design/refine the research instruments coordinate data collection and analysis support the organization of dissemination events assist in the preparation of reports perform other duties as assigned
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21 Aug 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Economics Political sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in innovative methods of assessment and/or advanced statistical methods, such as multiple