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, proactive facility management, building/city health check, and next-generation BIM and digital twins. Having expertise in leveraging advanced digital methods, big data analytics, machine learning, generative
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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or related disciplines. They should have i) a strong quantitative background; ii) experience in analysing epidemiological data using R, STATA, SAS or other statistical packages; iii) demonstrated expertise in
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courses in Linguistics and Language Studies, and supervise student projects. The candidate will also support large-class teaching, such as course material development, course administration and marking
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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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image analysis skills on clinical and research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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ammonia with high efficiency and on a large scale from N2-dissolved ionic liquids”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent
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postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster
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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