Sort by
Refine Your Search
-
Listed
-
Employer
- University of British Columbia
- University of Saskatchewan
- University of Toronto
- McGill University
- Nature Careers
- University of Victoria
- Institut national de la recherche scientifique (INRS)
- Mount Royal University
- Simon Fraser University
- The University of British Columbia (UBC)
- University of Lethbridge
- https://engineering.ok.ubc.ca/
- 2 more »
- « less
-
Field
-
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 commitment to employment equity helps
-
Sciences, Machine Learning, Mathematics, or a related field—or equivalent qualifications and demonstrated expertise in generative AI. Work Experience: Training in the following areas: Experience: Minimum
-
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
-
: Edward S. Rogers Sr. Department of Electrical and Computer Engineering Campus: St. George (Downtown Toronto) Description: The Edward S. Rogers Sr. Department of Electrical and Computer Engineering (ECE) in
-
with others; ability to effectively train students; self-motivated with the ability to work independently; possess a positive and collaborative attitude; willingness to take additional training and learn
-
. Applicants should have expertise in the application of statistical methods in data science, machine learning, or artificial intelligence. Experience must include the preparation and delivery of course content
-
overall quality of life is outstanding. McGill University, founded in 1821, is one of Canada’s best-known institutions of higher learning and is consistently ranked among the top 20 public universities in
-
of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and
-
, the successful candidate will lead forefront investigations of quantum materials with the state-of-the-art TR-ARPES machine at ALLS. Responsibilities include (but not limited to): Propose and lead TR-ARPES studies
-
that incorporate artificial intelligence and machine learning or climate change and human health are of particular interest. BWF believes that a diverse scientific workforce is essential to the process and