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& Pathobiology Campus: St. George (Downtown Toronto) Description: This course is designed to provide an introduction to Biostatistics to graduate students in the Health Sciences. It aims to focus on topics and
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- Mathematical Statistics I (0.5FCE) This course is designed for graduate students in Statistics and Biostatistics. Review of probability theory, distribution theory for normal samples, convergence of random
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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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, biostatistics, or data science within a degree-granting program, at the undergraduate level for students specializing in statistics or related fields with strong mathematical and computational components
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- Topics in Epidemiology Course description: The focus is on the theory and application of biostatistics and epidemiology to current developments in special topics in substantive areas of epidemiology (e.g
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
biostatistics tools, protein folding, and AI tools in biology and structural biology and an understanding of how future AI tools might unfold in biotechnology and drug discovery. Preferred Qualifications: Same
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
methods/biostatistics, and/or mathematics. Advanced coding experience with “R” is essential. Published research analyzing clinical trial data. Experience working in a hospital environment. Preferred