Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Saskatchewan
- University of Toronto
- McGill University
- Nature Careers
- The University of British Columbia (UBC)
- University of Victoria
- Institut national de la recherche scientifique (INRS)
- National Research Council Canada
- Dalhousie University
- Government of Canada
- Mount Royal University
- OCAD University
- University of Lethbridge
- Université Laval
- 5 more »
- « less
-
Field
-
, 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
-
to their communities and you may be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
computer programs and learn debugging strategies. By the end of the course, students are expected to create a program that helps them solve a problem or perform a task (either self-chose or assigned) in
-
be eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 4 days ago
teaching, learning and research activities. Reporting to the Manager of Printing Services, the Digital Print Technician is a member of the production team, responsible for producing a wide range of documents
-
mixed-methods research considered an asset. Experience in dealing with multiple commitments, short deadlines and sensitive clinical or research issues Intermediate or advanced computer skills in
-
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
-
Science (MADS) program, offered jointly with the Department of Electrical and Computer Engineering. The position typically involves teaching six courses over three terms with a flexible assignment, such as
-
contributes to a positive and productive work and learning environment. Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation
-
-generation smart factories. The candidate's technical skill set must seamlessly bridge: Control Theory and System Dynamics Machine Learning, Sensor Technology and Data Analytics, Mechanical/Electromechanical