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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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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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research team to conduct data analysis for different types of data, including genomic/metagenomic sequencing data, ecological surveillance data, as well as development of analysis pipeline. Working off
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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
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initiatives develop, coordinate, and manage clinical trials in alignment with regulatory standards draft and submit grant proposals to secure research funding apply bioinformatics, biostatistics, and
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grant applications from ideation to submission. The appointee is also expected to supervise research staff, manage project alignment, and undertake administrative duties as assigned. Enquiries about the
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, such as cell culture, flow cytometry, cell sorting, immunohistochemistry staining and data analysis for single cell sequencing. Candidates must exhibit a strong command of written and spoken English, and
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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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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