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
-
cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
-
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
-
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
-
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
-
of the data and the different parameters used by algorithms. Subsequently, the course will introduce different qualitative and quantitative methods to assess the quality of the results. All concepts will be
-
and flight control systems on multiple drone platforms, including: Path planning and flight control algorithm development Integration of algorithms into onboard edge computing devices Development and
-
responsible AI practices, including awareness of bias, fairness, and transparency in data and algorithms Work collaboratively within interdisciplinary teams, translating research and policy needs into technical
-
Date Posted: 08/07/2026 Req ID: 49772 Faculty/Division: Faculty of Applied Science & Engineering Department: Dept of Electrical & Computer Eng Campus: St. George (Downtown Toronto) Position Number
-
of many teaching and research awards, with strengths in the Department including algorithms, artificial intelligence and machine learning, data science, bioinformatics, computational neuroscience