Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- National Research Council Canada
- Dalhousie University
- Fields Institute
- University of Calgary
- Carleton University
- Ryerson University
- Universite de Sherbrooke
- University of Calgary, Cumming School of Medicine
- University of Guelph
- University of Saskatchewan
- University of Victoria
- University of Waterloo
- Western University
- 6 more »
- « less
-
Field
-
, cryptocurrencies, prediction markets, algorithmic decision-making and accelerating Artificial Intelligence are implicated in these pressures. A Canada Impact+ Emerging Leader will develop critical research and
-
cancer cohorts. • Proven ability to develop novel computational and AI-driven methodologies, including Bayesian generative models, phylogenetic inference tools, and algorithms for multimodal data
-
to Computer Science. Mathematical induction; correctness proofs for iterative and recursive algorithms; recurrence equations and their solutions; introduction to automata and formal languages. This course assumes
-
fundamental physics and quantum computation, with an emphasis on building quantitative, benchmarked pipelines that connect field-theoretic questions to modern quantum algorithms and hardware. The position will
-
on the design, development, modification, and evaluation of software systems, programs, and algorithms for intent-based networking, secure routing, and secure Internet-based services and applications developed in
-
, software and algorithms. Distinct from current computing approaches, which are powered by discretized mathematical operations running on digital transistor-based solutions, neuromorphic computing promises
-
algorithm development, countermeasure testing, and integration of C-UAS detect-and-identify systems. It supports research on RF sensing, direction-finding, and signal classification for UAS geolocation and
-
of the HDRN Algorithms and Harmonization Inventory and similar tools. Participate in HRDP-SK Data Quality & Standardization committee thereby advancing continuous improvement in data quality, validity
-
responsible AI practices, including awareness of bias, fairness, and transparency in data and algorithms Work collaboratively within interdisciplinary teams, translating research and policy needs into technical
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
relating to artificial intelligence (AI), such as algorithmic bias, explainability and accountability in AI decision-making, trust in AI systems, relationships between humans and AI, the effects of AI