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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
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analysis of large datasets using R and/or STATA Strong Biomedical Science and quantitative background Demonstrated abstract concepts in an accessible way to all organizational levels Good communication and
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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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intervention research project and is expected to assist the principal investigator in all matters related to the implementation, data collection and management, administration, and data analysis of the project
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of course coordinator, Professor Wang, and other teaching professors; Run tutorials to undergraduate students with multiple sessions per week; Assist in the design, implementation, and analysis of research
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intervention research project and is expected to assist the principal investigator in all matters related to the implementation, data collection and management, administration, and data analysis of the project
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, and examine how social capital and built environment contribute to wellbeing Perform quantitative and qualitative analysis under the supervision of the Principal Investigator (PI). Collaborate with
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implementing all task of PISA duties including sampling, training, analysis, verifying the quality of the data, liaison with OECD, Government Representatives, schools and staff of the whole Project Team, etc
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immunohistochemistry techniques. Working knowledge of SPSS for data analysis. Knowledge of Python and/or R for analyzing next-generation sequencing (NGS) results will be a distinct advantage. Experience in preparing