Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- National Research Council Canada
- Dalhousie University
- Fields Institute
- University of Calgary
- Ryerson University
- Universite de Sherbrooke
- University of Calgary, Cumming School of Medicine
- University of Guelph
- University of Victoria
- University of Waterloo
- Western University
- 4 more »
- « less
-
Field
-
Program Description Master's or PhD students are invited to apply for research visit funding from the Thematic Program on Quantum Algorithms for Differential Equations (the "Program") taking place
-
, the incumbent will act as the lab's data scientist: designing, implementing and validating algorithms on multimodal clinical datasets, and independently writing up and communicating the results in the scientific
-
Sessional Lecturer Position Posting Date: September 21, 2026 Program: Masters of Health Informatics (MHI) Sessional Dates of Appointment: Winter 2027, January- April Existing Vacancy: Yes Course
-
Science: Concepts and Algorithms INSY 674 075 Fridays 08:35 - 9:55 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline
-
Science: Concepts and Algorithms INSY 674 076 Fridays 14:35 - 15:55 Start Date: August 31, 2026 End Date: December 4, 2026 CL Credits: 1.5 Number of Class Hours: 19.5 Remuneration: $5,912.00 Deadline
-
Academic Job Category Faculty Non Bargaining Job Title Research Associate Department Rohling | Department of Electrical and Computer Engineering | Faculty of Applied Science (Robert Rohling) Posting
-
validation of machine learning and artificial intelligence algorithms for biomarker discovery and treatment selection in gynecologic cancer. The incumbent performs a variety of moderately complex technical
-
to environmental stimuli, from decision-making to motor coordination. He/she will develop analyses and computational models to explain existing datasets and extract the algorithms underlying responses to visual and
-
convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
-
Computer Science and expertise at the intersection of quantum computing and computer science. Topics of interest include, but are not limited to foundational and applied quantum algorithms, quantum cryptography