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Bioinformatics, Computer Science, Medical Informatics, biostatistics or a related discipline, with a good research publication record and strong programming skills. Preference will be given to those with previous
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. Applicants should possess a PhD degree in Biomedical Sciences, Biochemistry, Chemistry or a related discipline. They should have strong background and research experience in at least one of the following areas
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of renewal subject to satisfactory performance. Applicants should have a PhD degree in biological/biomedical sciences or a related discipline. They should be hardworking, self-motivated, and able to work
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with faculty, researchers, and other team members on various projects. Requirements A good PhD degree, preferably in data science, biomedical sciences, or a related discipline; Experience in
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for RAP, or a one- to three-year temporary basis for PDF, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD in epidemiology
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record of publication in international journals is highly desirable. The appointees will participate in collaborative projects involving Dentistry, Microbiology, and Mechanical Engineering, under
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availability and satisfactory performance) Applicants should possess a PhD degree in Nursing, Social Sciences, Social Work, Statistics, Public Health or related disciplines. They should have a good command of
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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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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies