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Sessional Lecturer Position Posting Date: August 12, 2025 Program: Master of Health Science in Health Administration (MHSc) Sessional Dates of Appointment: Fall 2025, September to December Course
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Date Posted: 07/31/2025 Req ID: 44591 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Description: Course number and
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largest and most renowned university-based music program for professional musical training, creation, performance, education, and research. Home to a diverse and dynamic community of scholars, performers
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expression is explored through studio-based projects and lectures. Estimated Course Enrolment: 25 Estimated TA Support: N/A Class Schedule: Tuesdays, 9:00am - 12:00pm** **The delivery method for this course is
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-performance computing Experience in design of computational pipelines for large-scale imaging Experience with programming languages and scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and
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                University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
procedures of the University of Toronto or other related educational institutions. Excellent analytical and numerical skills. Proficient using analytical software/spreadsheets/data visualization tools. Good
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Date Posted: 07/31/2025 Req ID: 44594 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Description: Course number and
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Master of Engineering (MEng) students, a professional program for students taking courses with us for a year or two. And we have about 350 MASc and PhD students, who work individually on research projects
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will work closely with a multi-stakeholder working group and a defined governance system representing all 10 AHC partner institutions, including program leaders among other health ecosystem stakeholders
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at the intersection of information and communication technologies, human rights, and global security. We use a “mixed methods” approach to research combining practices from political science, law, computer science, and