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Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and dietary pattern deduction. They must demonstrate proven expertise in
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; familiarity with time series analysis and complex survey design and weighting is preferred. Experience in epidemiological data analysis of large datasets using R and/or STATA is highly preferred, competency in
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. Those with substantial and relevant experience in research project management and strong track record of publications may be considered for the post of Research Assistant Professor. The appointee will be
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a Ph.D. degree in Health Science, Public Health or Geriatric Science, preferably with experience in health service research, advanced data analytics, digital health innovation, and/or big data
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possess a Ph.D. degree in Nursing, Public Health, Social Sciences, Social Work, Statistics or health-related disciplines, with multiple years of relevant experience. They should demonstrate strong
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, information technology, engineering, or a related field. Candidates must have a minimum of four years' experience in teaching, school-based support, or project management. Strong communication skills and proficiency in
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chemical and materials synthesis environments, including the implementation of smart synthesis workflows using robotic hands and manipulators. The role will involve contributions to the design, integration
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include: Assisting in the design and development of research studies and evaluation frameworks. Supporting the implementation of research activities and programme evaluation. Collecting and analysing data
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from medical charts, data analysis and proficiency in statistical software such as SPSS and R are preferred. Those who plan to pursue research postgraduate studies are welcome to apply. Enquiries about
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Post-doctoral Fellow / Senior Research Assistant (Holding the Functional Title of Senior Psychology)
include: Assisting in the design and development of research studies and evaluation frameworks. Supporting the implementation of research activities and programme evaluation. Collecting and analysing data