Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of British Columbia
- National Research Council Canada
- Canadian Association for Neuroscience
- The University of British Columbia (UBC)
- Universite de Moncton
- Université Laval
- European Magnetism Association EMA
- McGill University
- University of Montreal-CHU Sainte Justine Children's Hospital Research Center
- University of Toronto
-
Field
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
-
student to start in September 2025 (preferably) or January 2026 to study aspects of sensory physiology and learning in the context of pollination ecology. Using honey bees and other arthropods, our
-
computer.
-
, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
-
. It was Mrs. Killam's desire that those selected to receive scholarships: "Be likely to contribute to the advancement of learning or to win distinction in a profession. A Killam scholar should not be a
-
The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
Columbia and gain admission as a graduate student to the university. Applicants should review the graduate program profile to learn about admission requirements, application deadlines, program duration
-
, 2026 At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
-
centrifugal, digital, capillary, pressure, or microvalve-based microfluidics. Experience in deep-learning and artificial intelligence in the field of microfluidics to support applications such as high
-
computer.