Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- McGill University
- University of British Columbia
- University of Toronto
- National Research Council Canada
- SAIT Polytechnic
- Dalhousie University
- Government of Canada
- Institut national de la recherche scientifique (INRS)
- Mount Royal University
- Northern Alberta Institute of Technology
- Ryerson University
- University of Saskatchewan
- 2 more »
- « less
-
Field
-
of British Columbia in Vancouver, Canada, invites applicants for a full-time, PhD-level research associate in Evolutionary and Quantitative Genomics. Reporting to Dr. Judith Mank, the applicant will have
-
video. Creativity in developing engaging digital content that reflects the NAIT brand. Ability to research and adapt to evolving social media trends, algorithms, and digital marketing techniques
-
guidance. Documentation: Produce and maintain technical documentation, including pipeline workflows, algorithms, QC procedures, and SOPs to ensure reproducibility. Communication: Communicate technical
-
. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
-
Date Posted: 12/15/2025 Req ID: 46410 Faculty/Division: Faculty of Arts & Science Department: Ecology and Evolutionary Biology Campus: St. George (Downtown Toronto) Position Number: 00050649
-
exploitation experience (e.g. ability to analyze compiled code, debug, and craft exploits) Understanding of modern cryptographic algorithms and common weaknesses Expertise in application security (SQL injection
-
Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 3 days ago
and proceedings, presentations at top conferences, and widely recognized contributions to software projects. • Designing, implementing and testing new algorithms or applications in one or more
-
title: CSC384H1Y - Introduction to Artificial Intelligence, LEC5101 Please note, this position is a 0.5 FCE appointment. Course description: Theories and algorithms that capture (or approximate) some of
-
of technology infrastructure for data access requests and the documentation, storage, and re-use of algorithms and existing data; the development of data analytics and data collection and analysis infrastructure
-
experiments related to aerosol-cloud processes Analysis of data observation and modelling developed at McGill. Candidates must demonstrated experience in developing AI algorithms to significantly improve