Python and High Performance Computing
SciNet Teaching RoomParallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.Format: In person, but also broadcast and recorded.
Parallel programming in Python. We will cover subprocess, numexpr, multiprocessing, MPI, and other parallel-enabling python packages.Format: In person, but also broadcast and recorded.
Do you want to learn how to maximize the benefits of your partnerships? We invite faculty members in life sciences to join our Academic Organization Partnership Clinics. These monthly clinics focus on partnership development in the life sciences. Clinic 1: Pitching your Life Sciences Research to Partners: How to Find Potential Industry Partners and Present […]
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 […]
"Advancing Engagement Using Art-Based Approaches" Dr. Roberta Woodgate is joining us on March 28th at 11am EST for a conversation around the use of arts-based approaches to involve children and youth in the research process.
Please note: Capacity is limited to 300 participants for this course, and registration is on a “first come, first served” basis. CIHR will also maintain a small waiting list, so any registered participants are asked to contact CIHR as soon as possible if they can no longer attend. Participants must be based at a Canadian […]
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 designed for students with little to no experience in programming. This is a graduate course that can be taken for credit by UofT Biochemistry graduate students. […]
Centering attention to Clinical Trial Regulations, Research Connect is dedicating the upcoming webinar series to one of the essential steps in initiating a clinical trial, the “Clinical Trial Application”. We are delighted to have Health Canada representative Larissa Lefebvre joining us from the Office of Clinical Trials, Pharmaceuticals Drugs Directorate and help us explore an […]
This week's colloquium: "Multi-Factor Authentication" by Marco Saldarriaga from SciNet. The Compute Ontario Colloquia are weekly Zoom presentations on Advanced Research Computing, High Performance Computing, Research Data Management, and Research Software topics, delivered by staff from three Compute Ontario consortia (CAC, SciNet, SHARCNET) and guest speakers. The colloquia are one hour long and include time […]
Allie Martin is an ethnomusicologist and artist from Prince George’s County, Maryland. She is currently an assistant professor at Dartmouth College in the Music Department and the Cluster for Digital Humanities and Social Engagement. She received her BA in Violin Performance and Audio Production from American University, and her MA and PhD from Indiana University […]