Sort by
Refine Your Search
-
Listed
-
Field
-
, innovation and entrepreneurship, partnerships, policies and procedures, and institutional awards and honours. SciNet, within the division of VPRI, is a University of Toronto advanced research computing
-
, innovation and entrepreneurship, partnerships, policies and procedures, and institutional awards and honours. SciNet, within the division of VPRI, is a University of Toronto advanced research computing
-
of new algorithms and technologies. Capturing value from these algorithms and technologies requires an interdisciplinary approach, engaging health and health science professionals in the design and
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 27 days ago
kelly.squier@utoronto.ca ----------------------- Course Code and Title: CSCC63H3 - Computability and Computational Complexity Course Description: Introduction to the theory of computability: Turing machines
-
, calibrating theoretical models with experimental data,predicting promising candidates with computational tools and machine learning algorithms, andelucidating structure-property relationships of emerging
-
SDLs to synthesize and characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine
-
Sessional Lecturer Position Posting Date: February 9, 2026 Program: Executive Master of Health Informatics (eMHI) Sessional Dates of Appointment: Summer 2026, May to June Existing Vacancy: Yes
-
closely with our interdisciplinary team of scientists and engineers. Responsibilities include but are not limited to Experimental Design and Execution, Computational Modeling, Prototype Development, Data
-
characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and