Learning Objectives: Provide an overview of the race-related Ontario Human Rights Code grounds and definitions of relevant key terms. Explore how racial discrimination and harassment manifest in the work environments. […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course […]
U of T's Division of the Vice-President, Research and Innovation, School of Graduate Studies, and UHN's Office of the Executive Vice-President, Science and Research are inviting researchers in the life […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software […]
Join the Office of the Vice-President, Research & Innovation for an information session on applying to the NSERC Arthur B. McDonald Fellowship (https://research.utoronto.ca/honours-awards/db/arthur-b-mcdonald-fellowships) internal competition.The session will be led by Dr. Sarah […]
U of T's Division of the Vice-President, Research and Innovation, School of Graduate Studies, and UHN's Office of the Executive Vice-President, Science and Research are inviting researchers in the life […]
Join Connect+Learn for a session on Windows 11 In this session, we’ll take a look at the latest version Windows 11. Along the way we’ll: Introduce new features like Snap […]
Join CanPath for an informative session on accessing CanPath data and biosamples for your research projects! Whether you’re a seasoned researcher or new to the process, our Access Office experts […]
Learning Objectives: Increase understanding of the experiences and impact of racial microaggressions – identify forms of racial microaggressive behavior and comments. Discuss and develop strategies for prevention and resolution of […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course […]
Are you interested in sharing your data with other researchers? Has a journal or funder asked you to share your data? In this session, participants will learn how to organize […]
This workshop is intended to provide a basic overview of Data Management Plans (DMPs), a tool often used to lay a foundation for good research data management practices through the […]
Join us for the next Get it Started, Get it Finished, Keep it Going (https://cris.utoronto.ca/rdfcohorts/get-it-started/). These monthly sessions are geared to addressing the competing priorities faculty face during the semester from […]
