The major aim of this research project is to accelerate the development of the SORT1+ oncology platform. This novel platform is based on a new proprietary peptide targeting Sortilin, a key scavenging receptor. Sortilin has been reported to play a role in cell survival and in the progression of human cancers. For instance, Sortilin expression […]

Sea ice is an integral part of the climate system. To obtain hemispheric-scale information about sea ice and the snow cover on top, satellite radar remote sensing is the method of choice. Microwave frequencies are ideally suited to observe sea ice/snow because they are independent of clouds and penetrate the snow and sea ice. However, […]

The goal of the research project is to enhance ATB’s fraud detection by incorporating new graph based features. Initially, the project will be focused on figuring out how to use ATB’s data to build graph features. Once the data is processed, these additional graph variables will be used to improve the existing fraud detection machine […]

This project is focussed on developing an optical imaging technology called photoacoustic imaging. Photoacoustic imaging is able to distinguish healthy tissue from cancerous tissue during breast surgery and could one day eliminate the need for repeat surgeries. The technology uses a pulsed laser to selectively build up pressure in some tissues and microphones to listen […]

Radiation effects in the space environment is of particular concern to electronics, often causing them to fail either due to ionization or from particles directly damaging components through collision. The goal of the project is to study the radiation effects of commercial off-the-shelf (COTS) components such as solid-state drives (SSDs) and digital-to-analog converters (DAC) to […]

The proposed research project is an evaluation of the outcomes of a suicide prevention program, Skills for Safer Living (SFSL). The program is an intervention that targets individuals with a high risk of suicide as indicated by multiple prior suicide attempts. SFSL has been adapted from a previous program that has shown positive outcomes, but […]

Alfred Technologies propose une solution de gestion de cave à vin et de sommellerie en agrégeant différentes informations sur les multiples produits de la viticulture. Ainsi, pour permettre une meilleure recommandation des produits, ce stage vise à appliquer des techniques de traitement automatique de la langue naturelle afin de tirer profit des données sur la […]

This project aims at developing a magnetic nanoparticle-based technology that couples novel aptamers (MNP@apt) for targeting T-cell enrichment for CAR-T cell therapy applications. The proposed method offers several advantages to antibody-based isolation of T-cells, namely stability and ability to release captured T-cells. Finally, we aim to develop a method that can be amenable to large-scale […]

Restoration of ecosystems that have been degraded or damaged is important to protect biodiversity and can help Canadians to address climate change by storing carbon and reducing the impact of natural disasters. Satellite images are acquired regularly across all of Canada, including remote areas, and the series of images that builds up over time can […]

TechBA is a program run by the Canada-US-Mexico Foundation for Science (FUMEC) and supported by Mexico’s Secretary of Economy, created to help provide access to the most dynamic business ecosystems for small and medium sized technology-?based Mexican businesses interested in expanding into global markets. With eight locations in highly technologically competitive environments, its objective is […]

Boundary Pass is a busy vessel traffic area of the Salish Sea and is a critical foraging habitat for many cetacean species, specifically Southern Resident killer whales, transient (Bigg’s) and humpback whales. With the shipping lanes passing through this area, whales are at risk of disturbance from underwater noise and, at times, from close vessel […]

The current internship is an extension of an ongoing project (application ref. IT24703) which implies the advanced deep learning-based approaches to diagnose the simultaneous power transformers’ faults based on a time-series dataset. The power transformers were selected as the candidate assets in the previous project. They are pieces of essential equipment for electricity transmission and […]