Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Press Tab to Move to Skip to Content Link Skip to main content Home Current Opportunities All Opportunities Staff Opportunities Faculty Opportunities Librarian Opportunities CUPE 3902 (Unit 3) Opportunities CUPE 3902 (Unit 3) Emergency Posting Opportunities UTemp (Short-Term) Affiliated Hospital...
-
CUPE Local 3902 (Unit 3) Job Posting Sessional Lecturer Position Posting Date: May 2, 2025 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Fall 2025
-
Date Posted: 08/06/2025 Req ID: 44634 Faculty/Division: Faculty of Arts & Science Department: Dept of Computer Science Campus: St. George (Downtown Toronto) Position Number: 00058335 Description
-
Technology, the Manager, Research Computing has the primary responsibility for providing strategic leadership and management for the Faculty’s research computing initiatives, ensuring alignment with the University’s
-
promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks
-
characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
-
characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
-
Date Posted: 07/31/2025 Req ID: 44594 Faculty/Division: Faculty of Arts & Science Department: Department of Computer Science Campus: St. George (Downtown Toronto) Description: Course number and
-
lives, increase profits and minimize resource usage. Considerable attention in the course is devoted to applications of computational and modeling algorithms to finance, risk management, marketing, health
-
technical subjects such as programming, data science, machine learning, and algorithmic fairness is highly desirable. Candidates must have teaching experience in a degree-granting program, including lecture