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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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federated computation for large-scale data collaboration” for sensitive data collaboration, especially in financial and business data scenarios. He/She will be required to: (a) conduct literature review
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) [Appointment period: each for two to twelve months] Duties The appointees will assist the project leader in the project - “A large model based data agent for data science and artificial intelligence education
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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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develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including SPSS and R, for large and complex data analysis Proven knowledge
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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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, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct advantage. The appointees’ primary duties will be
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Generative AI”. He/She will be required to: (a) investigate cutting-edge techniques for foundation large language models and multimodal large language models, with emphasis on pre-training, post-training
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conducting systematic literature reviews, comparative social policy analysis, working with large-scale longitudinal data sets, set theoretic methods, or computational social science would be a distinct
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populations. Applicants must hold a doctoral degree (Ph.D.) in Nutritional Epidemiology or a related field, with substantial experience in dietary analysis, epidemiologic study design, big data handling, and