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Date Posted: 08/14/2026 Req ID: 49851 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Chemical Eng.& Applied Chemistry Campus: St. George (Downtown Toronto
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University of Toronto Faculty of Information Sessional Lecturer Winter Term 2027 (January 2027 - April 2027) INF2178H - Experimental Design for Data Science Course Description: At the heart of every
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to legislative restrictions). Further, data science approaches to analyses challenge current data minimization principles. • Many entities would like to monetize health data or use them for commercial purposes
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to legislative restrictions). Further, data science approaches to analyses challenge current data minimization principles. • Many entities would like to monetize health data or use them for commercial purposes
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these methods for data analysis. In addition, students will learn about clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and conceptual
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to implement these methods for data analysis. In addition, students will learn about clinical data sciences. The emphasis will be placed on the fundamental of clinical data sciences, related skills and
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
questions Generating reports Essential Qualifications: Bachelor’s Degree in Data Analytics, Statistics, Business Administration, Social Sciences with a strong quantitative focus, Computer Science, Informatics
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Description: This course is designed for students to understand the issues associated with the use of data management technology and analytics solutions in the healthcare system. This includes systems and
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Sessional Lecturer Position Posting Date: September 21, 2026 Program: Executive Masters of Health Informatics (eMHI) Sessional Dates of Appointment: Winter 2027, January – April Existing Vacancy
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-supervisory) job-related guidance Essential Qualifications: Bachelor's Degree (Master's Degree preferred) in Computer Science, Information Technology, Data Engineering, or a related field or acceptable