Join us for a trainee discussion on PRiME programming and opportunities. PRiME will be launching an exciting new competition! Lunch will be provided.The town hall will be followed by May […]
SPEAKERS: Dr. Gang Zheng Associate Research Director, Princess Margaret Cancer Centre Professor, Canada Research Chair in Cancer Nanomedicine “Nanoemulsions as cancer theranostics and anti-microbial agents” Dr. Andrew Varley 2022 PRiME […]
SPEAKERS:Dr. Gang ZhengAssociate Research Director, Princess Margaret Cancer CentreProfessor, Canada Research Chair in Cancer Nanomedicine“Nanoemulsions as cancer theranostics and anti-microbial agents”Dr. Andrew Varley2022 PRiME FellowCo-supervised by Profs. Bowen Li, Scott […]
On May 13th, U of T will be participating in Science Rendezvous, an annual free science festival for the whole family. Science Rendezvous takes science out of the lab and […]
The Centre for Community Partnerships (CCP) invites you to to an in-person, half-day institute at Hart House, which will feature concurrent panels, a roundtable, and lunch together. All University of […]
CRIS Connects provides targeted, real-time help from experts. Come and ask experts anything on their topic of expertise and concurrently build your tri-campus networks. DiscoverResearch (https://discover.research.utoronto.ca/) is a tool to […]
The Data Sciences Speaker Series with Prof. Phebe Vayanos, WiSE Gabilan Assistant Professor, Assistant Professor of Industrial & Systems Engineering and Computer Science, Associate Director, CAIS Center for Artificial Intelligence […]
In this workshop, you will learn advanced MPI techniques such as MPI Datatypes, application topology and MPI-IO in the context of a scientific MPI example.
This reports progress with the project to institutionalise colleges’ social role: community colleges and similar types of institutions’ support of social, education, and cultural development in their local communities and […]
This six-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, […]
