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Introduction to Computational Biostatistics with R Please note that this position represents a 0.25 FCE Sessional Lecturer appointment. Two Sessional Lecturers will jointly deliver the course. The successful
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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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Interventional Sciences. Preferably Students in Public Health, Epidemiology, Experimental Medicine, Computer Science, or a related field are also eligible. Graduate-level training in biostatistics, epidemiology
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, knowledge, and skills related to equity, diversity, and inclusion Preferred Qualifications A post-graduate degree in statistics, biostatistics, or epidemiology Advanced experience with air pollution
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of new articles for the assignments and their critical appraisal 3. Assistance in the evaluation of the course assignments Qualifications: - strong knowledge in biostatistics and epidemiology - skills in
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presentations Qualifications: - strong knowledge in biostatistics and epidemiology - skills in critical appraisal of different study designs (RCTs, Cohort, Case-control, Diagnostic studies, Systematic Reviews
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Minimum Qualifications Doctorate or advanced degree in biostatistics or similar quantitative field, experience with machine learning, fluency in R statistical language Preferred Qualifications Same as
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distributed OBGYN sites in the province may be required. Education: A master’s degree in health sciences, biomedical or biological sciences, clinical research, epidemiology, public health, biostatistics or a
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University of Ottawa | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
, supervises teaching assistants, and teaches a maximum of two three-credit courses per year. Key requirements: graduate degree (PhD preferred) in Statistics, Biostatistics, Data Science, or a closely related
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of methodologists that extends beyond the Department of Medicine, including the Faculty’s Department of Epidemiology, Biostatistics and Occupational Health (EBOH). By drawing on the complementary strengths of EBOH