Human microproteins as host dependency factors of Zika virus

Zika virus is an important mosquito-transmitted human pathogen endemic to tropical and subtropical parts of the world and was responsible for the pandemic in South America in 2016. In pregnant women, the virus can cross the placenta and infect the brain of developing fetus leading to congenital abnormalities and life-long sequelae in newborn babies. Currently […]

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Biocover Methane Oxidation Quantification Project at Summit Road Landfill

In response to the growing concerns about landfill gas emissions, particularly methane (CH4) and carbon dioxide (CO2), which significantly contribute to global climate change, the proposed research project aims to address this issue through the development of bio-based landfill covers. While many landfills currently have implemented gas collection systems for processes like flaring or energy […]

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L’atténuation naturelle des produits pétroliers par des consortiums de bactéries dans les milieux humides

La pollution liée aux déversements d’hydrocarbures pose de grands problèmes environnementaux et de santé humaine. Les méthodes conventionnelles utilisent des méthodes chimiques et/ou physiques (via excavation) pour nettoyer les sites impactés. Ces méthodes sont souvent très coûteuses et peuvent endommager durablement les écosystèmes incluant les milieux humides. Il est donc important de développer des méthodes […]

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Training Machine Learning to Monitor Cricket Farms

By 2050 the global population is projected to reach 9.8 billion, and food supply must sustainably scale to keep up with the population’s growing nutritional demand. Insects are rich in protein and require substantially less environmental resources compared to the standard protein sources of today, making them a promising food of the future. To optimize […]

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Secure Traceable Digital Datasets for Research and AI

This project makes it possible for Canadian researchers to share secure and traceable datasets between large computing systems in Canada. These traceable datasets can be used to further reproducible science by allowing everyone in the scientific community to know where the dataset used for experiments is from and that it has not been altered. Traceable […]

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Development of a Radioactivity Transport Code to Support the CANDU Industry

Knowledge of corrosion products and radioactivity transport in nuclear reactors is necessary to minimize radiation dose to station workers during maintenance activities. Modelling radioactivity transport can also be used predictively to assess how changes to station chemistry affect radiation fields. The objective of this project is to develop a new code in Python, leveraging the […]

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Physics Informed Neural Networks – Exploring the Future of Computational Electromagnetics

Computational electromagnetics (CEM) is a field of research devoted to simulating the complicated electromagnetic systems foundational in our technology, security, and exploration. Historically, problems have been solved by breaking them into many small pieces that can be solved by a computer; an approach that makes it difficult to solve very complicated problems. Today, a new […]

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Advancing Automated Construction: Pose Estimation with Fiducial Markers

This project will develop a prototype technology to guide cranes to automatically place building elements using visual reference markers (QR codes). Working with Sparkbird, the R&D arm of WZMH, two interns will develop a software application to estimate the relative positions of the element to be placed with existing elements and the crane, allowing for […]

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Mise au point d’un bioréacteur par perfusion pour permettre de la culture cellulaire en 3D à l’échelle du centimètre

Un défi dans le domaine médical est de pouvoir réparer ou remplacer des organes non fonctionnels. Actuellement la solution à ce problème est la transplantation d’organe entre un donneur et un receveur. Cette solution est fonctionnelle mais pose certains problèmes comme le manque de donneurs et la compatibilité entre donneur/receveur. Une solution à ces problèmes […]

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An intelligent framework for scalable sign language synthesis

Over 5% people across the world are hard of hearing, and require assistance in navigating public transportation/airports. This project attempts at automated sign language synthesis through a virtual avatar for improving day-to-day life of people with hearing impairment. The industry partner has developed a preliminary framework to conduct animation on virtual avatars to play back […]

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