Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 17 hours ago
date of July 1, 2027. REQUIREMENTS AND QUALIFICATIONS Candidates must have earned a PhD degree in Health Services Research, Public Health, Public Policy, Social Policy, Social and Behavioural Health
-
keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department. Sessional dates of appointment: January 1, 2027 – April 30, 2027 Salary: Sessional
-
keeping with current circumstances, the course delivery method may change as determined by the Faculty or the Department. Sessional dates of appointment: September 1, 2026 – December 31, 2026 Salary
-
will explore what it means to be a practitioner researcher in educational institutions and community-based organizations. This course is intended for MA and PhD students interested in exploring
-
Sessional Lecturer - NEW372H1F - The Architecture of Wellness: Braiding Indigenous & Buddhist Teachi
an in person format. The successful candidate will be co-teaching the course alongside another course instructor. However, please note that, in keeping with current circumstances, the course delivery may
-
2026 Salary: In accordance with the CUPE 3902 Unit 3 Collective Agreement, the rate of pay for teaching in this course will be $1,699.57, inclusive of vacation pay. Qualifications: PhD in physiology
-
accordance with the CUPE 3902 Unit 3 Collective Agreement, the rate of pay for teaching in this course will be $2,399.39, inclusive of vacation pay. Qualifications: PhD in physiology or related discipline and
-
for the position must be submitted online through AcademicJobsOnline https://academicjobsonline.org/ajo/jobs/32102 . The required materials are the candidate's current curriculum vitae, list of publications
-
, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper, the successful candidate will develop, validate, and deploy ML models to improve clinical decision-making
-
applications of current tests, and will have the necessary background to understand and analyze new assays. This course is co-taught with another faculty member in the Molecular Genetics Department