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Date Posted: 07/02/2025 Req ID: 43835 Faculty/Division: Faculty of Arts & Science Department: Department of Statistical Sciences Campus: St. George (Downtown Toronto) Description: STA 2112HF L0101
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. The successful candidate must hold a PhD in Statistics, Computer Science, Data Science, or a closely related discipline by the time of appointment, or shortly thereafter with a demonstrated a strong record of
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Statistics, Actuarial Science, Biostatistics, or related discipline required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics, or related discipline. Prior experience teaching
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, Actuarial Science, Biostatistics, or related discipline required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics, or related discipline. Prior experience teaching at
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Designing appropriate statistics for analysis using experience with very mixed methods and women’s brain health Reading published papers relevant to the studies being analysed and adapting procedures
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of study for both PhD and Master's include, but are not limited to: Information, Computer Science, Engineering, Statistical Sciences, Information Systems, Software Engineering, and Computational Social
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Foundations of Econometrics (Section LEC0101) Course Description: A rigorous introduction to probability and mathematical statistics intended for students in Economics Specialist programs. Probability and
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, Medical Education, the Office of Learner Affairs (OLA) is dedicated to working with and supporting learners from the Temerty Faculty of Medicine’s undergraduate medical education (MD and MD/PhD
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of types of data, descriptive statistics, probability distributions, hypothesis testing, correlation, linear regression and analysis of variance will be covered. The course will be using the R software
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solving Proficiency with setting up and maintaining databases in order to produce and update statistical reports and to archive material Familiarity with PhD funding packages at UofT Experience in