464 information-technology-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Toronto in canada
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
MMI1020H Big Data Analysis This course introduces students to the art and science of data analysis and provides a set of statistical and econometric tools that are useful in managerial decision
-
term. This is a .2 weighted course. Posting end date: July 24, 2026 Number of Positions (est.): Up to four (4) Estimated TA support: TA consultation will be available from partner engineering courses as
-
reality, it must be translated through people. A key is understanding engineers lead in ways that reflect their skills and mind set. Learning frameworks and personal working styles inventories provide
-
will be taught in person. Application Procedure: Please apply via: https://tracs.utoronto.ca/dept/kpe/app/sl Closing Date: 09/11/2026, 11:59PM EDT ** This job is posted in accordance with the CUPE 3902
-
examination of experts and trial strategy. Lastly, students will learn about ethical responsibilities of engineers and the PEO disciplinary regime and be exposed to the role of insurance as it affects engineers
-
Sessional Lecturer CHE562H1: Applied Chemistry IV - Applied Polymer Chemistry, Science & Engineering
degree (Master’s or Doctorate) in Engineering. Background / specialization in subject area is required. Candidates in progress of advanced degree completion (applies to non-University of Toronto graduate
-
Closing Date: 08/31/2026, 11:59PM EDT ** This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. It is understood that some announcements of vacancies are tentative, pending final
-
examination of experts and trial strategy. Lastly, students will learn about ethical responsibilities of engineers and the PEO disciplinary regime and be exposed to the role of insurance as it affects engineers
-
experience in the area of Occupational and Environmental Health or Occupational Hygiene. P.Eng. is not required, but familiarity with engineering concepts is an asset. Expertise in the area of exposure
-
, information and knowledge; technological support for decision making (including predictive analytics, machine learning and artificial intelligence); the main types of information systems in health care and