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 […]
This session introduces tools, techniques and best practices of 3D printing, including the basics of 3D printing, an introduction to the MADLab space, and the models of 3D printers available […]
Do you need help deciding if a partnership is the best next step for your research program? Are you ready to formalize an informal partnership but need some guidance on […]
In this course students will be instructed in how to program in R. Ultimately students will learn how to use R to analyze, process and visualize data. This course is […]
In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up […]
The SciNet Users Group (SNUG) meetings happen every month on the second Wednesday and involve a techtalk (a hybrid in-person/online webinar) on topics or technologies of interest to the SciNet […]
At the University of Toronto, our facultyconduct research that has impacts across a broad range of disciplines. DiscoverResearch (https://discover.research.utoronto.ca/)is a new online tool to highlight, celebrate and promote ourscholars and research […]
The Centre for Research & Innovation Support (CRIS), in collaboration with the University of Toronto Libraries (UTL) is hosting a 90-minute webinar on Bibliometrics. This session will introduce participants to […]
Community of practice meetings actively bring together CBRCanada members from across Canada and beyond to engage in meaningful discussions. All involved in community-based research are welcome, whether you are a […]
