533 parallel-computing-numerical-methods positions at University of Toronto in canada
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on career-related matters (i.e. interview skills, developing goals, work search, program transfer etc.) by providing options and consequences incorporating personal circumstances impacting academic success
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Sessional Lecturer - CTL5718H - Special Topics in Teaching - School-Based Collaborative Teacher Inqu
. and YRDSB educational priorities - Demonstrate skills related to building community and program development involving a range of stakeholders (including school educators, OISE participants and
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-stakeholder environments such as education and healthcare, working with academics and physicians whose vision for changing the world demands both excellence and results Highly developed computer skills working
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+), particularly in active learning environments, and experience in teaching computer programming, data science, or software design. Preferred Qualifications: include a PhD in an appropriate discipline (as above
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. The successful candidate is expected to pursue innovative and independent research at the highest level, establish an outstanding, independent research program, and publish articles in internationally recognised
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administration and oversight of the University’s Animal Care and Use Program (ACUP), supporting the University’s compliance with federal and provincial regulatory frameworks, funding agency requirements, and
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documentation for the purposes of student planning and program evaluation as well as creating programs and workshops using: a strong equity framework and analysis of the barriers for students with disabilities
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CUPE Local 3902 (Unit 3) Job Posting Sessional Lecturer Position Posting Date: August 12, 2025 Program: Master of Health Administration (MHSc) Sessional Dates of Appointment: Fall 2025, September
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
quality control techniques for printing and production using Adobe Creative Cloud software on Apple computers. No prior experience with computer technology is required, as this course will prepare students
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producing and delivering orientation presentations to small or large groups. Advanced computer skills: Microsoft Word, Excel, Outlook, Access, Adobe Acrobat or comparable software Assets (Nonessential