15 data-analytics-phd positions at University of Toronto in Canada

Sessional Lecturer, INF482H1 - Special Topics in Information Studies II: AI

a chance to acquire the knowledge to engage with the field in relevant and ethical ways. This Special Topics course complements INF412 (Data Analytics: Informed Decisions Using Data). INF482H1

Sessional Lecturer, INF451H1 - Information Design Studio IV: Information Visualization

University of Toronto Faculty of Information Sessional Lecturer Fall Term 2024 (September - December) INF451H1 – Information Design Studio IV: Information Visualization Course Description: This

Sessional Lecturer, INF1602H - Fundamentals of User Experience

University of Toronto Faculty of Information Sessional Lecturer Fall Term 2024 (September - December) INF1602H – Fundamentals of User Experience Course Description: This course introduces students

Sessional Lecturer, INF2149H - Administrative Decision-Making in Information Organizations

: Stresses analytical models of how problems are solved and decisions are made in information organizations. This course (INF2149H — Administrative Decision-Making in Information Organizations) introduces

Sessional Lecturer, INF1003H - Information Systems, Services and Design

University of Toronto Faculty of Information Sessional Lecturer Fall Term 2024 (September - December) INF1003H – Information Systems, Services and Design Course Description: This course (INF1003H

Sessional Lecturer, INF2408H - Cold War History of Books, Librarianship, and Publishing

University of Toronto Faculty of Information Sessional Lecturer Winter Term 2025 (January - April) INF2408H – Cold War History of Books, Librarianship, and Publishing Course Description: This course

Senior Financial and Business Administration Officer (16 Month Term)

information (Budget and actual). Ability to think analytically, solve problems and make decisions. Ability to work under pressure as well as manage workload and a team to meet deadlines. Able to be patient and

Staff Scientist (AI Lab)

theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules

Program Manager, Physician Scientist Training Programs

to promote programs and opportunities. Producing complex statistical information, including providing advice and data to support the development of business cases and analytics for departmental initiatives

Sessional Lecturer-MHI2013H - Data Visualization in Health Care

enrolment: 30 Estimated TA support: based on enrolment – None Qualifications: PhD or Masters level education in health informatics or related field; A robust understanding of data visualization in health