Sort by
Refine Your Search
-
Employer
- University of Toronto
- University of British Columbia
- University of Saskatchewan
- McGill University
- University of Victoria
- Nature Careers
- Institut national de la recherche scientifique (INRS)
- Mount Royal University
- Simon Fraser University
- The University of British Columbia (UBC)
- https://engineering.ok.ubc.ca/
- 1 more »
- « less
-
Field
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 20 hours ago
, although candidates are expected to have established strengths in spatial statistics and/or applied machine learning. Grounded in the CERC-NEST goal of connecting statistics with knowledge co-production
-
https://engineering.ok.ubc.ca/ | Northern British Columbia Fort Nelson, British Columbia | Canada | 13 days ago
to the development, growth, and leadership of the Computer Engineering Program in the School of Engineering. The program integrates foundational and applied courses in engineering, with hands-on learning and immersive
-
, Computer Science, Computer Information Systems, Data Science, Environmental Science, Geology, and General Science which allow students to prepare for a variety of exciting careers in science and technology
-
experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
-
of the fundamental theory of deep learning along with significant experience in the development of software applications that employ neural network and deep learning approaches to computer vision, natural
-
Primary Purpose: To provide leadership, vision and direction for the Clinical Learning Resource Centre. The Associate Director, Clinical Learning Resource Centres, oversees the development and
-
program and facility. The successful candidate will add to this expertise and help build a new intersection of neuroscience and artificial intelligence. Modern machine learning and AI techniques now enable
-
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
-
; supporting faculty and students in the areas of artificial intelligence/machine learning (AI/ML), scholarly communications, open access (OA), copyright and research data management (RDM); providing ongoing
-
personnel and service workers that provide trusted services and stewardship in support of teaching, learning, and discovery. This team is responsible for operations, maintenance, service, utilities