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background; experience in analyzing epidemiological data using R, STATA, SAS or other statistical packages; demonstrated expertise in the analysis of large and complex datasets; excellent written and oral
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pursue a coherent research agenda the ability to develop a body of high-quality publications in scholarly journals with global impact proficiency in statistical software packages, including SPSS and R
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cognitive neuroscience and machine learning techniques to study learning, cognitive functioning, language processing, and reading acquisition. Candidates will conduct EEG research on implicit statistical
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Engineering, Applied Mathematics, Statistics, or any related subjects. Expertise and rich experience in computer vision are necessary. Knowledge of computer programming and prior experience in system
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, Social Sciences, Health Sciences, Mental Health, Education, or related disciplines, ideally plus several years of experience in conducting research. He/she should be able to use statistical programmes
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statistical software packages An excellent command of written and spoken English What We Offer The appointment will commence as soon as possible on a 1-year fixed-term basis, with the possibility of renewal
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sciences, statistics and health-related disciplines. They should demonstrate strong competency in qualitative and qualitative data analysis and have a good command of written and spoken English and Chinese
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preferred. The appointee will serve in a consulting capacity, providing expert statistical support to professoriate staff members for grant applications, fostering collaboration with Principal Investigators
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Post-doctoral Fellow/Senior Research Assistant in the Department of Family Medicine and Primary Care
. Applicants should possess a Ph.D. degree in public health, health economics, biostatistics, computer sciences, or a related quantitative discipline. They must be proficient in data analysis using statistical
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response theory (IRT) analyses, confirmatory factor analyses (CFA), and other complex statistical analyses (SEM) would be highly desirable. Applicants should be responsible, self-motivated, and able to work