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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.
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. Two positions are possible if suitable candidates can be identified. Applicants should possess a Ph.D. degree in Physics. The appointee will work with Prof. Chenjie Wang to pursue research in condensed
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intellectually to research development are requisites for the position. The appointee will investigate the molecular mechanism of liver cancer using next generation sequencing. Enquiries about the duties
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the supervision of Professor Pengtao Liu on research projects relating to totipotency of stem cell and blastoid, targeting for translational applications. For enquires regarding the position, please