Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Saskatchewan
- University of Toronto
- McGill University
- Nature Careers
- University of Victoria
- The University of British Columbia (UBC)
- Dalhousie University
- Government of Canada
- Mount Royal University
- National Research Council Canada
- OCAD University
- University of Lethbridge
- Université Laval
- 4 more »
- « less
-
Field
-
: Machine Learning for Engineers; Mark Coates ECSE 552: Deep Learning; Amin Emad McGill University is committed to equity and diversity within its community and values academic rigour and excellence. We
-
. Knowledge of machine learning algorithms. Proficiency in Canvas and content organization. Excellent communication skills. Responsible and punctual.
-
Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
-
. Research Associate in Bioinformatics and Machine Learning Applications to Stem Cell Bioengineering The School of Biomedical Engineering at the University of British Columbia, Vancouver campus is seeking a
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 22 hours ago
. Above all, we prioritize student success, and seek to give our 16,500 students the lift of a lifetime through learning anddiscovery. We love to open opportunities available nowhere else for our community
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 13 days ago
candidate is expected to teach can be found here: https://www.cs.utoronto.ca/~trebla/CSCB09-2025-Summer/ . The successful candidate must demonstrate thorough familiarity with the course material. Previous
-
diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and
-
, including uncertainty estimation, risk-aware prediction, and data-efficient learning - Continual, transfer, and meta-learning, with emphasis on sim-to-real and real-to-sim generalization - Applied machine
-
Sessional Lecturer - PPG2012H-S-Topics: Applied AI Systems & Governance: Technology, Policy & Practi
-world policy applications to equip students with the knowledge and tools needed to engage with AI at both strategic and operational levels. Students will learn how modern machine learning models work
-
departments as required Responds to multiple telephone calls, computer systems, and radio equipment simultaneously Determines the type of service required and location of incident, and ensures emergency