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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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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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. Preference will be given to those with experience in health service and/or digital health research. They should also have an excellent command of spoken and written English and Chinese (including Cantonese
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-related data, including data from electronic health records, medical images, and sensor data from wearable devices Responsible for writing up results, training and supervising students and junior staff
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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
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical analysis, and proficiency in statistical and computer modelling software (e.g. R
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the Department of Clinical Oncology, School of Clinical Medicine (Ref.: 532723) Applicants should process a Ph.D. degree preferably in Cancer Genetics, Cancer Biology, Biological and Biomedical Sciences or a
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the field of public health, biostatistics, pharmacoepidemiology and epidemiological studies. They must be proficient in data analysis using statistical or computer modelling software, such as Stata or R
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are in the process of completing a Ph.D. degree will also be considered. The appointee will work with Prof. Zi Yang Meng to conduct research on computational and theoretical condensed matter physics. Areas