Sort by
Refine Your Search
-
Listed
-
Employer
- University of British Columbia
- McGill University
- University of Saskatchewan
- University of Toronto
- SAIT Polytechnic
- Dalhousie University
- Mount Royal University
- OCAD University
- Carleton University
- Thompson Rivers University
- Université du Québec à Trois-Rivières (UQTR)
- Western University
- 2 more »
- « less
-
Field
-
patients, and distributing resident and examiner schedules. - Coordinates and schedules resident review meetings with the Program Director and Associate Program Directors, with a goal of two reviews per
-
the province have an impressive record of research and discovery related to prevention of emergencies, improving clinical care, and system improvements. Our Royal College residency training program, distributed
-
of Computer Science at McGill University (Montreal, Canada) invites applications for a tenure-track appointment at the rank of Assistant Professor. We are seeking candidates with a PhD (or close to finishing) in
-
distribution of information packages, letters, forms and applications. Processes documents related to admissions, registration and placement tests. Assesses eligibility according to established guidelines
-
and assisting with daily operations to maintain productivity. Manages the Faculty’s email distribution lists Provides administrative support to courses that have high student engagement requirements
-
multiple priorities, manage competing priorities and deadlines, make decisions and meet deadlines. Advanced administrative skills, including use of computers for data analysis and information distribution
-
and participants for the Midwifery Undergraduate Program and Curriculum Committees and the IEMBP Program Committee, including agenda, minute taking and distribution. Administrative Support for
-
Michael Cuccione Childhood Cancer Research Program | Department of Paediatrics Compensation Range $5,538.94 - $6,497.44 CAD Monthly Posting End Date October 2, 2026 Note: Applications will be accepted until
-
practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML
-
practical knowledge of machine learning with large datasets Experience : Experience with cloud-based, parallel, or distributed computing environments Hands-on experience developing or deploying production ML