Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Toronto
- Dalhousie University
- Nature Careers
- University of Saskatchewan
- Universite de Sherbrooke
- University of Waterloo
- BioNano Lab
- Carleton University
- Institut national de la recherche scientifique (INRS)
- OCAD University
- Pacific Institute for the Mathematical Sciences
- Ryerson University
- SAIT Polytechnic
- Simon Fraser University
- University of Guelph
- 7 more »
- « less
-
Field
-
: Course number and title: MIE1624F/S – Introduction to Data Science and Analytics Course description: The objective of the course is to learn analytical models and overview quantitative algorithms
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 11 days ago
sensing concepts and utilizing remotely sensed data for monitoring land resources and environmental change. Topics include surface-energy interactions, sensor systems, image interpretation, and applications
-
signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS Liquid Argon Calorimeter system. Use novel high-level synthesis
-
360 Algorithm Design F 2025 LOCATION Downtown Campus Schedule TR
-
, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and modeling. Familiarity with rheological characterization techniques, such as rheometry or viscometry
-
learning with advanced algorithms such as Alphafold3 for molecule processing and foundation models for image processing. Designs and develops machine learning computer models (i.e. algorithms) for medical
-
degree in Computer Science, Math, Statistics or Engineering programs. Ph.D would be an asset. Knowledge of classification algorithms, vision-language models (VLM) and Hugging Face Transformers is an asset
-
plasticity measured by near infrared spectroscopy after stroke; effect of a virtual rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation
-
will design and implement scalable software infrastructure and data processing software for CHIME's massive datasets. The role includes algorithm development and data analysis of cosmology datasets
-
rehabilitation program on self-care after traumatic brain injury; use of wearable sensors to inform neurorehabilitation practice; and implementation trials to increase the uptake of technology in clinical