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, Experimental Psychology or equivalent Expérience / Experience Expertise in a variety of statistical methods, particularly univariate and multivariate statistics Knowledge of the application of educational and
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: Department of Surgery, Division of Surgical and Interventional Sciences Course Title: Statistics for Surgical Research Course Code: EXSU 606 Estimated Number of Positions: 1 Total Hours of Work per Term: 60
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in Matlab, Python, and R or similar environments; databasing; and statistical methods; computational modeling or health outcomes research experience would be an asset. Other Qualifying Skills/Abilities
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 16 hours ago
. Timetable link: https://www.utsc.utoronto.ca/registrar/timetable Sessional dates of appointment: January 1, 2027 – April 30, 2027 Salary: Starting September 1, 2026 the following rates of pay apply for half
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 21 hours ago
into spreadsheets, databases, or statistical software. Ensure data accuracy, consistency, and confidentiality. Use statistical tools (e.g., SPSS, R, Python, Excel) to analyze and interpret data. Produce
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from rates stated in this posting, the rates stated in the collective agreement shall prevail. Minimum Qualifications: PhD in Biostatistics, Statistics, or a related field. Advanced comprehension
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https://kpe.utoronto.ca/. Your opportunity: The Registrar's Office staff are committed to strong service excellence in supporting the academic and registrarial needs of current undergraduate, graduate and
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clinical research coordinator will support the Lunken (https://ibdcentrebc.ca/lunkenlab/) Lab at BC Children’s Hospital Research Institute (https://www.bcchr.ca) to undertake studies which focus on nutrition
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
: Course Number and Title: STA256H5F LEC101 Probability and Statistics 1 Course Description: This course covers probability including its role in statistical modeling. Topics include probability
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experimental datasets using computational, statistical, and/or AI/ML methods to extract insights into material performance, stability, and process-structure-property relationships. Adapt and improve experimental