429 machine-learning-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at McGill University in Canada
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
: Department of Electrical & Computer Engineering Term: Winter 2026 Course subject code: ECSE 316 Course Title: Signals and Networks Course Credits: 3 credits Location: ENGTR 0070 Schedule: Tuesday and Thursday
-
the Department of Mechanical Engineering, is seeking a motivated and skilled Research Assistant to support cutting-edge research in predictive simulation of human-machine interaction, specifically focused
-
Position in Software Engineering Department of Electrical and Computer Engineering, McGill University The Department of Electrical and Computer Engineering at McGill University invites applications for a
-
: COMP 550- Course Title: Natural Language Processing Course Number: COMP 551- Course Title: Applied Machine Learning Course Number: COMP 555 - Course Title: Information Privacy Course Number: COMP 558
-
: Desautels Faculty of Management Position Summary: Providing support to Students and Professors as well as maintenance of Faculty computer labs. Other Qualifying Skills and/or Abilities • Providing support in
-
in colocalization analysis and CT-scanning is an asset. Experience in machine learning is an asset. Start date January 2026. Contract of 2 years, renewable upon the availability of funding and other
-
: The Research Associate reports directly to the Research Supervisor (Prof. Anne Kietzig) to align the laser beams, enabling the execution of laser fabrication commands and develop new machining controls
-
data from log sheets into computer using DSA Laitier and DelPro software. Collects data for research trials and ensures accuracy of records. Liaises with Animal Science Coordinator (Dairy) to ensure
-
animal events on log sheet. Regularly transfers data from log sheets into computer using DSA Laitier and DelPro software. Collects data for research trials and ensures accuracy of records. Liaises with
-
such as ECG, Echo, Pulse wave velocity, direct or indirect tonometry, Doppler ultrasound, oscillometric analysis, and magnetic resonance imaging (MRI). Using machine learning and AI techniques, the project