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degree or above in Biostatistics, Biomedical Sciences or related disciplines with at least 3 years’ post-qualification experience (preferably in clinical research, epidemiological data analysis of large
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. Previous work experience in big data analysis, managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation, and with related track records
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and summarize findings related to AI and large language models and their applications to above mentioned fields; Prepare research reports, presentations, and manuscripts for publication; and Collaborate
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international researchers and local mental health service providers, and learning the implementation of a mega mental health research project. The appointee will co-lead a large research team comprising
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informed neural networks (PINN) and explainable machine learning (EML) frameworks; experience in related technologies including large-scale data analysis, deep learning, Python, PyTorch; and the ability
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scenario, with four specific studies: Develop knowledge representation from multi-modal datasets (tabular EHR data, texts, images) of patients with chronic hepatitis B infection using advanced AI and Large
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Bachelor’s degree or above preferably in education field, with at least 3 years’ extensive experience in educational research and large-scale studies including project management and coordination, tracking
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-year fixed-term basis or a one-year temporary basis, with the possibility of renewal subject to satisfactory performance) The appointee will participate in a large-scale 15-year longitudinal population
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Politics, International Relations, Political Theory, and Public Administration (including public policy, public management, and non-profit studies). For more information about the Department, please visit