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 as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
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 is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
This session will provide communications professionals with key resources, tips and techniques to support the development and creation of accessible social media content. Participants will be reminded of our obligations, legal and social, to create accessible content, provided with guidance on common social media platform accessibility features, and given advice on how to design accessible […]
Type 2 diabetes (T2D) is a widespread chronic condition with severe consequences, including complications affecting blood vessels and organs, disability, and premature death. Research indicates that depression can significantly raise the risk of developing T2D, potentially through lifestyle and biological factors. Additionally, our modern diet presents a challenge with the increasing consumption of ultra-processed foods […]
Join us at this online training/demo of the VPRI Dashboards, including ART (Tableau)! Dashboards access is required and limited to staff in research roles at U of T.
The Creative Destruction Lab is excited to introduce the “Spinout Series”, a new virtual event series for Canadian innovators interested in entrepreneurship to hear from some of the top minds in the country how they think about commercializing innovation. The first event in this series "How to Think About Spinning Out in Canada" is now […]
Debugging is an important step in developing a new code, or porting an old one to a new machine. In this session, we will discuss the debugging of frequently encountered bugs in serial code and debugging of parallel (MPI and threaded) codes using DDT.
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 is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
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 as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
Research Connect is thrilled to dedicate a very special webinar to “Evidence-Based Medicine-New Learnings and Opportunities”. Dr. Gordon Guyatt, MD, MSc, FRCP, OC. Distinguished Professor, Departments of Health Research Methods, Evidence and Impact and Medicine at McMaster University will be the esteemed guest speaker. Dr. Alfonso Iorio will moderate and be a panelist. Dr. Alfonso […]
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 Carson, Manager, University Awards and Honours, who will share insights on the profile of recent Fellowship recipients, the internal selection process, and writing the 6-page […]
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 as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
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 is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
