586 processor-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of British Columbia
- McGill University
- University of Saskatchewan
- University of Toronto
- National Research Council Canada
- Mount Royal University
- SAIT Polytechnic
- Thompson Rivers University
- OCAD University
- Carleton University
- Universite de Sherbrooke
- https://engineering.ok.ubc.ca/
- 2 more »
- « less
-
Field
-
to 85lbs of force; 4 to 6 carts moved each day. Ability to operate computers, computer operating systems, and productivity software; as well as metering and associated mailing equipment as asset. Ability
-
, procedures, and processes is an asset. Demonstrated experience handling matters of a confidential and sensitive nature. Skills: Highly proficient computer skills (M365 – Word, Excel, PowerPoint, SharePoint
-
, design and implementation of an immersive training tool that leverage spatial computing, computer vision, and on-device AI to support automated feedback, skill evaluation, and scalable surgical and trauma
-
biosafety practices for the handling of biological samples would be an asset. Basic knowledge of computer software such as Microsoft Office, including Excel and Word. Behavioural competencies Research
-
in and verifies all pertinent information on registration cards and guest folios to ensure accurate entry of data into computer. Balances cash and receipts and maintains a functional cash float for
-
Manager. Work Performed Takes customer food orders at counter or at tables; prepares and calculates bills for payment. Enters customer orders in computer or cash register and accepts payment via cash, meal
-
supportive cancer care. Under the supervision of Dr. John-Jose Nunez - a dual-trained psychiatrist and computer scientist, Dr. Kristin Campbell, Professor at the Department of Physical Therapy and Dr. Lauren
-
, containerization, CI/CD, model deployment, or production analytics workflows. Experience with natural language processing, generative AI, computer vision, optimization, forecasting, or simulation. For information
-
field, master’s level preferred. Experience: Minimum two years of related experience or an equivalent combination of education, training and experience; Graduate degree preferred; Computer experience
-
: Department of Electrical & Computer Engineering Term: Fall 2026 Course subject code: ECSE 343 Course Title: Numerical Methods of Engineering Course Credits: 3 credits Location: ENGTR 2110 Schedule: Tuesday