Sort by
Refine Your Search
-
that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
-
. Expertise that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property
-
that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
-
to thoughtfully and conscientiously shape the field of the future. With our robust and comprehensive educational training programs (DDS, MSc, PhD degrees, IDAPP and other specialty programs), our emphasis
-
) Description: Course Code: KIN8247H: Artificial Intelligence in Sport Analytics Course description: This course provides a hands-on exploration of artificial intelligence (AI) and machine learning (ML) through
-
asynchronous) by conducting research in order to determine what materials, resources and innovations should be added, revised, or adapted to meet new learning models and identifying existing evidence-based and
-
University of Toronto Faculty of Information Sessional Lecturer Summer Term 2025 - Session Y (May - August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
: Department of Computer and Mathematical Sciences Campus: University of Toronto Scarborough (UTSC) Description: The Department of Computer and Mathematical Sciences at the University of Toronto Scarborough
-
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 11 hours ago
to tackle massive data sets in health. The focus will be on advanced statistical tests in machine learning and assemble such tests by accessing and validating publicly available code in the R programming
-
of study for both PhD and Master's include, but are not limited to: Information, Computer Science, Human-Computer Interaction, Design, Engineering, or Informatics. A PhD is strongly preferred. Candidates