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Program Description: PPIT introduces participants to curriculum, teaching, and learning within the context of engineering education, and provides participants with learning opportunities to support
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
Collective Agreement. The Master of Forensic Accounting Program is a 10-course program offered at the graduate level, primarily on a distance education basis, using a problem-based learning model supplemented
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
Agreement. The Master of Forensic Accounting Program is a 10-course program offered at the graduate level, primarily on a distance education basis, using a problem-based learning model supplemented by web
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to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis
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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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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
Collective Agreement. The Master of Forensic Accounting (MFAcc) program is a 10-course program offered at the graduate level, primarily on a distance education basis, using a problem-based learning model
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Date Posted: 06/23/2025 Req ID: 43778 Faculty/Division: Faculty of Applied Science & Engineering Department: Department of Electrical & Computer Engineering Campus: St. George (Downtown Toronto
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home with administrative and faculty offices, an on-site Library, student computer facilities, study space and a classroom. ABOUT THE RESEARCH: The CIRHR at the University of Toronto invites applications
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 23 hours ago
investigated. Topics include project estimating, costing and evaluation, organizing and managing project teams, quantitative methods for project planning and scheduling, introduction to computer-based project
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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