Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- University of Toronto
- University of Saskatchewan
- Dalhousie University
- McGill University
- University of Victoria
- National Research Council Canada
- Carleton University
- OCAD University
- Queen's University - Electrical and Computer Engineering, Smith Engineering
- Thompson Rivers University
- University of Calgary, Cumming School of Medicine
- University of Guelph
- University of Waterloo
- Western University
- https://engineering.ok.ubc.ca/
- 6 more »
- « less
-
Field
-
including the emergence of the United States as a global economic, political, military, and cultural power. Open Learning Faculty Members are teaching staff in the Open Learning division of TRU, and the role
-
literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
-
https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | 8 days ago
integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following link: https
-
Sciences, the successful candidate will be expected to develop and lead an independent research program in computational oncology, centred on new quantitative and machine-learning methods, including
-
CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 18 hours agoprovided by the Engineering Teaching and Learning Team, the Queen’s Centre for Teaching and Learning, the Department, and Smith Engineering. The Department of Electrical and Computer Engineering has 36 full
-
integrates foundational and applied courses in engineering, with hands-on learning and immersive experiences for students. To learn more about this program visit the following links: https
-
. Experience developing, curating, designing, or coding innovations, or participating in digital health initiatives. Experience with programming languages, machine learning, or health informatics would be
-
expertise in fire behaviour and climate modelling, remote sensing, and machine learning to a multidisciplinary research program that spans prescribed fire operations, fire behaviour modelling, IoT sensor
-
, organization, cleaning, and management of speech and language datasets. Support the development, testing, and refinement of machine learning and artificial intelligence models. Conduct literature reviews related
-
courses. The department’s greatest current needs are in operating systems and computer architecture, and applicants with expertise in these areas will be given preference. We also welcome applicants with