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record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in programming languages/software such as MATLAB, Python, R, Stata, as well as GIS
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
with the Principal Investigator and the project team in the “Psychometric and Statistical Analysis for Assessing Longitudinally Students’ Growth in their Capacity for Learning in a Digital World (LDW
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quantitative research methods. Demonstrate strong research capability and a track record of publications in relevant fields. Have proficiency in data processing and statistical analysis, with experience in
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research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments, Environmental Economics, Resource Circularity, Community-level Institutions and the
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
/or learning analytics for teacher learning and pedagogical innovation. Familiarity with theory and pedagogical implementation of digital literacy and AI literacy in the curriculum, and leadership
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absorptiometry, magnetic resonance imaging), and managing large-scale exercise-based randomized controlled trials is an asset. Enquiries about the duties of the post should be sent to Mr Tsang at pongfpt@hku.hk
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
implementation of digital literacy and AI literacy in the curriculum, and leadership for technology-enhanced learning and pedagogical innovation is crucial. Preference will be given to those with expertise in
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English as well as advanced knowledge of quantitative and qualitative research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments
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, Marine Science, Computer Science, or related fields (obtained within the last 2 years). Strong research record with publications. Experience in programming, satellite data processing, and/or fieldwork
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proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English and a demonstrated record of publishing academic