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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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be requested to arrange for at least three references, including one from their PhD supervisor/advisor. Review of applications will commence as soon as possible and continue until November 30, 2025
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the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in Dentistry, Medicine, Engineering, or relevant disciplines. He or she should have a good command of written
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collaborative multi-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare
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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
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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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of family and mental health are preferred. They should be competent in advanced quantitative analysis (e.g. SEM, multi-level modelling, factor analysis) and experienced in using statistical software (e.g
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-omic research projects relating to gut microbiota and vascular and brain health Involve in the design, implementation, and testing of statistical and AI software for analysing large healthcare-related
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software package (e.g. SPSS, Stata, SAS, R, Mplus) is required. The appointee will join an internationally active team of researchers in developing studies in the area of digital phenotyping in early
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applications will start on July 8, 2025 and continue until the position is filled.