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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
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managing and analyzing quantitative research data using advanced statistical methods, such as multiple linear regression, mediation analysis, multilevel modeling, and/or latent variable models. Good
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to develop a body of high-quality publications in scholarly journals with global impact proficiency in statistical software packages, including SPSS and R, for large and complex data analysis proven knowledge