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on Income and Wealth Inequality (led by Professor Bingjing Li ) Investigating the Networks and Behaviours of the Ultra-Rich (led by Professor Heng Chen ) Examining the Socio-Economic Impacts of Income and
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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying
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), knowledge of medical statistics and skills of common statistical analysis software. The appointee will be responsible for supervising, coordinating and developing research projects on health and primary care
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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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of Mechanical Engineering (Ref.: 532104) We now invite applications for the captioned post. Duties and Responsibilities Driving research activities towards defined goals in specified timeline Processing in
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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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Chinese (Cantonese) and English, advanced knowledge and experience with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and strong team work
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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