Decoding Political Messaging to Working-Class Voters In Canada

This research project, “Decoding Political Messaging to Working-Class Voters In Canada,” is interested in understanding how the three major Canadian political talk to working-class voters. We will be looking at what the Liberals, Conservatives, and New Democrats say about important topics like jobs, climate change, and healthcare. By exploring and analyzing their party platforms from […]

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Eastern Whip-poor-will landscape use and migratory tracking

The primary goals of our project are to fill critical knowledge gaps directly identified in the Federal Recovery Strategy for the Eastern Whip-poor-will regarding habitat use, prey availability, migratory paths and strategies, and overwintering sites in Southern Ontario, and to inform landowners about the presence of Eastern Whip-poor-will on their properties to support on-the-ground stewardship […]

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Machine Learning developer interns working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services sector (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

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Compact dc Transmission

The project will investigate a novel HVdc transmission arrangement referred to as a “symmetrical monopole”. This configuration has the ability to continue operation even when one of the transmission line conductors is faulted. This property allows for the use of new compact dc transmission lines which occupy only a fraction of the right-of-way of other […]

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Design and performance assessment of light rail train bridges

Light Rail Transit (LRT) is a vital mode of public transportation that allows efficient movement of people and goods throughout Canada, and especially in major cities. Contrary to highway and traditional rail bridges, LRT bridge design issues have received little attention, although most of the major Canadian cities have LRT systems. Currently there exists no […]

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Optimisation de la production de NaCl sous forme de « hopper crystals »

La fleur de sel est un produit recherché dans le milieu gastronomique. La structure spécifique des cristaux de fleur de sel donne un croquant en bouche et libère en même temps un goût salé explosif. La fleur de sel est produite essentiellement autour de la Méditerranée. Pour produire de la fleur de sel au Québec […]

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Valorisation des déchets plastiques par pyrolyse et co-pyrolyse

Sur les 350 millions de tonnes de plastique produites annuellement, seules 9% sont recyclées; le reste étant enfouies, incinérées ou simplement laissées dans la nature. La pollution induite par ces déchets menace tout notre écosystème. La conversion thermochimique conjointe de ces produits avec des résidus forestiers permettrait de venir proposer une solution élégante à cette […]

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YegVet Inc. – RVT student Co-op

The project aims to enhance veterinary training modules and cultivate a positive workplace culture at Boreal Veterinary Centre. It focuses on improving the retention rates of veterinary professionals, enhancing patient care standards, and fostering a supportive and innovative work environment.

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Thin Air Labs Funding Catalyst: Unlocking sustainable operating models for non-dilutive funding delivery

Thin Air Labs is a venture capital and services firm in Calgary Alberta. We are a founder first organizations that supports start-ups with data management, capital strategy and software development. Our Funding Catalyst team has secured over $40,000,000 in non-dilutive funding fro innovative ventures, through grant writing and capital strategy consulting. The intern role will […]

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Ultimarii – Market Entry and Product Launch

Ultimarii is focused on accelerating the approval process for major projects by leveraging advanced large language model (LLM) technology to streamline environmental impact assessments (EIAs) and other regulatory filings. Our platform offers tools for auto-drafting, summarizing, analyzing, and predicting outcomes of regulatory applications, thereby increasing the efficiency and reducing the costs associated with project approvals. […]

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Machine Learning-based Approaches for Channel Estimation and Spectrum Sharing

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. (100–150 words) The proposed research is focused on developing machine learning and deep learning-based approaches to improve the operation of 5G networks […]

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