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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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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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Post-doctoral Fellow/Senior Research Assistant in the Department of Family Medicine and Primary Care
quantitative discipline. They must be proficient in data analysis using statistical or computer modelling software, such as R. They should have an excellent command of written and spoken English, and a
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complex statistical analyses (SEM) would be highly desirable. Applicants should be responsible, self-motivated, and able to work independently. They should also have good analytical skills and high