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discipline. They should demonstrate good knowledge of quantitative and/or qualitative analysis; have a good command of written and spoken English and Chinese (advantage); have good interpersonal skills and a
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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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, 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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spoken Cantonese) and English quantitative research skills (including in survey development and multilevel data analysis) and/or qualitative research skills (including in developing interview schedule and
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, aiming at providing high-quality services from primary to tertiary levels to patients in the region, whilst sustaining a teaching and training mission well supported by a robust research component. The
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experimental data analysis and management Drafting proposals, reports and presentations relevant to the projects Liaising with project collaborators and partners Performing various laboratory administrative
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skills. They should demonstrate the ability to perform quantitative research and statistical analysis, conduct psychiatric interviews, and manage database. Applicants with experiences in conducting
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and validation, data analysis, report and manuscript writing, and public disseminations of findings. Support the PI in the coordination and monitoring of the instrument development and validation
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experience in one or more of the following areas: development of methods for multi-omics data integration, application of machine learning models in life science, single cell data analysis and spatial
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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