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for applied and methodological work in epidemiological and/or statistical research, and will work with a large population-based cohort with over 46,000 participants in 20,000 households. They will i) conduct
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. Preference will be given to those with experience in handling human iPSC-based cell- and/or organoid- platforms. The appointee will join a young and dynamic research group working independently and
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. Heterogeneous treatment effects modelling for precise liver disease management. Personalized AI-based traditional Chinese medicine (TCM) in hepatology. Requirements: Possess a Ph.D. degree in Data Science
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: prior technical project management experience and excellent communication skills in English; expertise in Artificial Intelligence based Computational Fluid Dynamics frameworks; knowledge of physics
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Cantonese). Experience working with community-based projects is highly desirable. Enquiries can be sent to Dr. CHAN On Fung, the project manager, at ofchan@hku.hk . A highly competitive salary commensurate
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for a two-year term, with the possibility of renewal based on satisfactory performance. We are seeking a highly motivated and talented candidate with a Ph.D. in Biomedical Sciences, Biological Sciences
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working with aging populations or community-based projects is highly desirable. Fluency in English (written and spoken); knowledge of Cantonese is an advantage for local fieldwork. Enquiries can be sent
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analysis based on archaeological data would be a plus. The appointee will work on projects of the Quantitative History Cluster at the Institute. He/She will be expected to conduct research and publish papers
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data and quantitative analysis based on archaeological data would be a plus. The appointee will work on projects of the Quantitative History Cluster at the Institute. He/She will be expected to conduct
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initiatives. They should have a strong track record of high-quality research. Research experience in big data and quantitative analysis based on archaeological data would be a plus. The appointee will work