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enrolment:260 students, in 12 studio sections of ≈ 24 students each. Class schedule: Lectures M 15–16, T 9–10, F 11–12 (lecturers are expected to attend two of three each week) Tutorials (Studios) T 11–13, T
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employee performs each of the following tasks listed below will vary according to where and when the employee is scheduled to work. • assembles work station with appropriate products and equipment
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
(est): 1 position. * Positions are dependent on actual course enrolment and are not guaranteed. Course Enrolment (est): 920 students Hours of work (est): 81.5 hours Class schedule: In-person delivery
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 19 hours ago
: USW Appointment Type: Budget - Continuing Schedule: Full-Time Pay Scale Group & Hiring Zone: USW Pay Band 15 -- $97,348. with an annual step progression to a maximum of $124,491. Pay scale and job
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of program logistics, interviews, scheduling rotations and clinical skills programming including equipment purchase and set up and updating content for an online learner management system. Your strong
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Appointment Type: Budget - Term Schedule: Full-Time Pay Scale Group & Hiring Zone: USW Pay Band 12 -- $81,312. with an annual step progression to a maximum of $103,986. Pay scale and job class assignment is
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course enrolment: 25 Estimated TA support: N/A Class schedule: Friday Noon-2pm *The delivery method for this course is currently in-person. Please note that, in keeping with current circumstances
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this role you will be: Approachable Communicator Diligent Meticulous Closing Date: 09/05/2025, 11:59PM ET Employee Group: USW Appointment Type: Budget - Continuing Schedule: Full-Time Pay Scale Group & Hiring
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/korean for details. Estimated course enrolment: 50 students Hours of work: 210 students Class schedule: In-person lectures (potentially any of): Mondays 9am-11am, 11am-1pm, 1pm-3pm, 3pm-5pm, 5pm-7pm
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application in scientific experimentation. Familiarity with high-performance computing environments, including job schedulers (e.g., SLURM, PBS, or LSF). Proficiency in Linux systems administration, including