UTSC OVPRI Celebration of Research Excellence Lecture Series with Professor Nicholas Mandrak “A Brief History of the Fish Communities of the Great Lakes: Past, Present, Future” The fish communities of […]
This virtual hands-on workshop will introduce a few selected R packages (available in RStudio) for creating simple maps. The topics covered include installing R packages, writing and running commands from […]
In partnership with Academic Success, Office of Student Life This is part 3 of a 3 part workshop series where we will use evidence-based learning strategies and mindfulness practices to […]
The Toronto Data Workshop (TDW) is a weekly hour-long discussion where academia and industry come together to share best practices for the initial data-centric steps in any applied statistics project. […]
The Division of the Vice-President, Research & Innovation (VPRI) will be hosting an information session on the new Tri-Agency Guide on Financial Administration (TAGFA), which took effect in April 2020. Members of the […]
The Data Science Applied Research and Education Seminar (ARES) is a speaker series that showcases opportunities in all realms of society for Data Science. Speakers are Data Scientists who span […]
The University of Toronto Research Services Office is hosting an online information session for the 2022 SSHRC IDG competition. Topics covered will include a general overview of the SSHRC IDG, […]
The Sloan Research Fellowships (https://sloan.org/fellowships/) are two-year fellowships recognizing outstanding early-career faculty who have the potential to revolutionize their fields of study._x000D_ Candidates must be tenure-track faculty who hold a […]
This is the second session in our Book Publishing Series (https://cris.utoronto.ca/related/book-publishing-series/). This session will bring together editors from a university press, an academic trade press, as well as a scholarly […]
The Toronto Data Workshop (TDW) is a weekly hour-long discussion where academia and industry come together to share best practices for the initial data-centric steps in any applied statistics project. […]
