There is an urgent call for development of fast and sensitive diagnostic tools for early and on-site detection of infected individuals for containment of the current COVID-19 outbreak. These tools should also require minimal training procedures so that personnel with different backgrounds can run them on-site and get accurate data in short periods of time. […]

The goal of the project is to understand how athletes have been affected by the COVID-19 pandemic. Through online surveys and interviews, the researchers hope to learn about the way the pandemic. They also want to know what athletes are doing to cope and how their families and coaches are supporting them. Study findings will […]

The project aims to understand and support Canadian wheelchair curling leaders (i.e., coaches, athletes, and sport administrators) to return to sport and mitigate the impact of COVID-19 pandemic. Bringing coaches together virtually and educating them to provide athlete support remotely can have a positive effect on the sport landscape post-pandemic. The intern will identify the […]

The outbreak of COVID-19 has devastated the whole world. The conventional drug-discovery-pipeline to develop a new drug for this novel disease does not fulfill the immediate demand for a therapy. The scientific outcomes of in vitro models do not recapitulate the physiological conditions and in vivo models are not yet operational. Therefore, there is a […]

The ability of the health system to manage a massive influx of patients is based on the combination of four factors: the personnel, the equipment, the physical spaces and the system in place. A combination better known in jargon as the 4 “S” (staff, stuff, structure / space, system). A fifth factor that is often […]

This research represents the evolution of an existing partnership between SeedChange and Food: Globally Embedded, Locally Engaged (FLEdGE), a SSHRC Partnership Grant project conducting community-based research on sustainable food systems. The intern will work with these partners to explore the role of community seed banks in contributing to seed security and thus result in increased […]

The proposed research project aims to advance the development of a novel basketball training application catered to youth basketball players. The prototype application designed by Pipeline Studios Ltd. uses machine learning to record and track youth basketball performance in a fun and entertaining atmosphere. The research project is designed to pair experts in human movement […]

This research project will enable Krate Distributed Information Systems Inc. (Krate) to provide two software as a service (SaaS) cloud products that will integrate with the distributed computer platform of fellow startup Distributed Compute Labs (DCL) to aid COVID-19 researchers. DCL’s distributed computer is in use by scientists and researchers across Canada (this company’s product […]

Fast development of more powerful and smaller mobile electronics suggested the need for development of sustainable energy resources as well as innovative sensor systems with improved accuracy and reduced power consumption. Moreover, utilizing appropriate sustainable energy resources would be beneficial for environmental protection. Such demands resulted in a great interest toward development of the triboelectric […]

In this postdoc, we plan to focus on computer vision tasks where existing deep learning methods require lots of labeled samples to work well. Acquiring labeled samples is time-consuming and often impractical. Thus, we investigate three different classes of methods to alleviate the label scarcity problem: active learning, weakly-supervised learning, and few-shot learning. In active […]

Mining is important to the Canadian economy but also generates large quantities of waste rock. Water percolating through some waste rock piles dissolves metals that can become hazardous to ecosystems. Laboratory tests are used to simulate this process. The intern will examine a suite of samples from a multi-year laboratory test to identify the source […]

Modern cloud-based applications are deployed as isolated processes in containers or virtual machines. These applications frequently require tuning by the application developer (or a DevOps engineer) in order to extract the requisite performance. For example, a Java application executing within a Docker container may have radically better performance if the host JVM runs with a […]