235 cloud-computing-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at University of Toronto
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current computational tools students will use human-centered design methods to produce interactive systems that engage with socio-cultural issues and society. The course (INF353H1 — Information Design
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support programs • Conducting a detailed analysis of student feedback and learning outcomes to inform program planning activities • Developing student assessment plans to support student learning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
$54.27 + vacation pay Application deadline: November 24, 2025 Please submit your CV + general application form to the MMI Master of Management of Innovation program By Email to: mmi.utm@utoronto.ca We
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Date Posted: 12/12/2025 Req ID: 46376 Faculty/Division: Temerty Faculty of Medicine Department: Office of the Associate Dean, MD Program Campus: St. George (Downtown Toronto) Position Number
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with computer software applications, including legal research applications and MS Office. Experience with CJIMS is considered an asset, but is not required; and Litigation experience in the practice
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Program Description PPIT introduces participants to curriculum, teaching, and learning within the context of engineering education, and supports participants in developing applications for academic
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in their work. Typically, the knowledge for this position would be attained through the completion of a recognized university degree in Business Administration, Commerce, or Computer Science. A
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(or if permitting be in person) with their computer for class assignments and lectures, each of these assignments being due for the following lecture. Estimated Course Enrollment: 12 TA Support: No Size
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, overseeing the development of public legal education resources, answering students’ legal questions, developing policies for the program, providing training on substantive and procedural law to the students
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machines could think and be conscious; the computational theory of mind; embodied cognition and the extended mind hypothesis; the “singularity”; and moral and political implications of machine learning