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on enrolment - None Qualifications: PhD or Masters level education in Measurement and Evaluation, Statistics or related field; Demonstrated experience conducting research projects requiring quantitative
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Master’s degree required, PhD preferred in Statistics, Applied Statistics, Actuarial Science, Biostatistics or related discipline. Prior experience teaching at the university level. Prior experience teaching
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
, quantitative genetics, and Baysian statistics as it applies to forensic biology. Session:January 1, 2025 – April 30, 2025 Lecture:Thursday 9:00 AM - 12:00 PM (In-person) Practicals/Tutorials:None. Estimated
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
to pose a meaningful research questions, to select appropriate data types, to define variables, examine bias, confounding factors, and select appropriate statistics that address their purpose. Session
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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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Sessional Lecturer - ECO220Y1Y Introduction to Data Analysis and Applied Econometrics (Section LEC05
; statistical inference; hypothesis testing and estimation; simple and multiple regression analysis (extensive coverage). Learn how to analyze data and how to correctly interpret and explain results. Use Excel
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the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail. Qualifications: PhD in Ecology, with familiarity with aquatic ecology, undergraduate
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are subjected to statistical analysis in order to produce knowledge of demographic categories, typical patterns, or suspect behavior. This knowledge is then applied back to individuals in the population in order
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, participatory design, statistical significance testing, model comparison, generalization, randomized control trials, bias, interpretability and explainability, FAccT (fairness, accountability, transparency
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highly cited in computer science. The MSc in Applied Computing (MScAC) program is a high-quality complement to the graduate research programs (MSc/PhD) offered by the Department of Computer Science. As a