Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- Dalhousie University
- National Research Council Canada
- Nature Careers
- Ryerson University
- Universite de Sherbrooke
- University of Saskatchewan
- University of Waterloo
- Université Laval
- BioNano Lab
- Carleton University
- Institut national de la recherche scientifique (INRS)
- Pacific Institute for the Mathematical Sciences
- SAIT Polytechnic
- Simon Fraser University
- The University of British Columbia (UBC)
- University of Guelph
- University of Victoria
- 10 more »
- « less
-
Field
-
for sustainable packaging, wearable sensors, and related. Experience working in interdisciplinary and collaborative research environments, including industry partnerships, is highly desirable. A track record of
-
power of data science and algorithmic research with the fields of democratic theory, political science, and public policy. Ideally, the candidate has expertise and interest in innovative research using
-
application of these techniques to the domain of information science. Topics will include software principles and practices, programming concepts and techniques, data structures, and algorithms. This course is
-
), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
-
there is a change to the date/time) Location: Chancellor Day Hall Course Description: Technology law of how to regulate AI algorithms. How technological innovation produces social change: human
-
of Commercial Contracts law • Knowledge of Contracts Negotiations • Knowledge of Technology Products Analysis (algorithms, analog/digital devices • Knowledge of Venture Market Analysis /Venture Business Strategy
-
a training dataset for developing machine learning algorithms for increasing the consistency of quality control in two cohort studies: healthy controls and epilepsy patients. Key Responsibilities
-
collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond
-
. Deployment and maintenance of eco-physiological instruments (e.g., chambers, sap flow sensors). Contribute to modeling and upscaling efforts using process-based and remote sensing-driven approaches. Support
-
edge AI for localized knowledge preservation; AI governance and data sovereignty in digital heritage institutions and collections; study and design of recommendation systems and ranking algorithms used