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University of Toronto Faculty of Information Sessional Lecturer Fall Term 2025 (September - December) INF1341H LEC5101 – System Analysis and Process Innovation Course Description: Multiple methods
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Experience analyzing, collecting, organizing data including generating reports Advanced proficiency with MS Office Suite Ability to deal effectively with multiple priorities and projects with conflicting
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and Power BI. The incumbent will work closely with multiple VPSEM teams, including those responsible for Student Recruitment, Admissions, and Financial Aid. Your responsibilities will include: Analyzing
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, approvals processes and established University and Council of Ontario Universities (COU) space standards. Applying specialized architectural/engineering expertise, the incumbent works with multiple
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and records for multiple projects with competing deadlines in a multi-faceted and complex environment Demonstrated experience providing program support Strong experience supporting event planning
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 12 days ago
to arrange and undertake extensive travel outside Ontario, including trips of up to three weeks at a time. The role requires setting up presentation equipment, delivering multiple presentations per day, and
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are multiple positions being recruited for. This position is part of the CUPE 3261 Casual Collective Agreement. Closing Date: Open Until Filled Employee Group: Hourly Appointment Type: Budget - Casual Schedule
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liability as well as experience in class actions and multiple jurisdiction actions. Experience lecturing and writing about these areas. Must be a member of the Law Society of Ontario. Preferred Qualifications
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promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and