-
Date Posted: 09/02/2025 Req ID:45033 Faculty/Division: Faculty of Arts & Science Department: Acceleration Consortium Campus: St. George (Downtown Toronto) Description: The Acceleration Consortium
-
, this candidate will align computational methods with experimental workflows. The focus will be on developing advanced machine learning algorithms for monitoring various in vitro cell culture models (2D, 3D
-
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
-
Date Posted: 07/14/2025 Req ID: 44226 Faculty/Division: Faculty of Arts & Science Department: Acceleration Consortium Campus: St. George (Downtown Toronto) Position Number: 00058279 Description
-
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
-
of Information Campus: St. George (Downtown Toronto) Description: The Faculty of Information at the University of Toronto St. George campus invites applications for a full-time tenure stream faculty position in
-
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
-
), debuggers, code verifiers and unit test frameworks and gain experience in graphical user interface design and algorithm development. Posting end date: July 11, 2025 Number of positions (est): One (1) position
-
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