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learning in imaging analysis, clinical trials, epidemiology, genetic study, big data analysis, R language or related statistic software, or/and Python software, or programming skills of deep learning tools
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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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Coordinate clinical studies and trials Manage and analyse large clinical biobank datasets Be exposed to ample opportunities in developing an academic career Perform other duties as assigned Requirements A Ph.D
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degree or above in Gerontology, Psychology, Social Sciences, Health Sciences, Statistics, or a related discipline with at least 3-year post-qualification experience. Previous work experience in big data
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or public sciences; (ii) proficiency in English; (iii) solid experience in ophthalmology and visual sciences research, deep learning in imaging analysis, clinical trials, epidemiology, genetic study, big data
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disciplines and leadership skills in managing a team, to drive forward new research initiatives. They should have a strong track record of high-quality research. Research experience in big data and quantitative
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historical data as well as statistical tools, quantitative history is a rising interdisciplinary research area that links history to other disciplines such as economics, finance, sociology, political science
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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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software packages, including SPSS and R, for large and complex data analysis proven knowledge and experience in undertaking research related to EoLC is advantageous relevant post-doctoral work experience and
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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