Testing the relationships between balancing selection and deleterious genetic mutations in four endangered species of whale

Although small and isolated populations experience increased extinction risk, recent research shows that not all small populations are doomed to extinction. The ability to predict the probability of extinction in nature could therefore direct conservation resources to those populations most in need. One theory is that small populations can evade extinction when directional selection removes […]

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L2M Launch / Qc Fall 2025 / Technologies MicroMea inc.

Dans le cadre de ce projet, le stagiaire mènera des entrevues avec des entreprises agroalimentaires et d’autres organisations qui produisent de grandes quantités de déchets organiques. L’objectif est de mieux comprendre leurs besoins, leurs défis et leur intérêt pour une solution locale qui transformerait ces déchets en biogaz renouvelable, pouvant remplacer une partie du gaz […]

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TRLUP – Spheralis Biolabs : Mise à l’échelle de composés PC

Le projet vise à optimiser la production d’un nouvel antibiotique conçu pour traiter les infections du pis chez les vaches, causées par Staphylococcus aureus. Ces infections coûtent très cher à l’industrie laitière et les traitements actuels sont souvent inefficaces ou contrôlés en médecine vétérinaire. Le stagiaire travaillera avec le centre de recherche appliquée Kemitek pour […]

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L2M Validation / QC Automne 2025 / Optimisation de la carbonatation minérale in situ accélérée des résidus miniers issus de roches ultramafiques

Ce projet de stage vise à étudier et à valider le potentiel commercial d’un procédé innovant de séquestration du dioxyde de carbone (CO2) par carbonatation minérale accélérée in situ des résidus miniers issus de roches ultramafiques (ou ultrabasiques). Il s’agit d’une solution prometteuse pour réduire l’impact des émissions de CO2 par les différentes industries. Ce […]

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Evaluating the Impacts of Climate Change and Seawater Intrusion on Arsenic Mobilization in Coastal Aquifers

Many rural communities in the maritime Provinces rely on groundwater for drinking water supply. There is concern that the groundwater in these areas may become contaminated with naturally occurring arsenic as the climate changes. Climate change effects including rising sea levels, longer summer droughts, and more intense storms may alter the geochemical conditions in the […]

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Exposition aux pesticides chez la grande et petite chauve-souris brune de colonies en milieu agricole au Sud du Québec

Les basses-terres du Saint-Laurent sont fortement exposées à une variété de pesticides provenant de la production alimentaire. Plusieurs insectes qui se nourrissent de plantes cultivées servent de proies à différentes espèces terrestres, comme les chauves-souris, favorisant l’accumulation de pesticides dans la chaîne alimentaire. Les chauves-souris possèdent un grand potentiel de bioaccumulation des pesticides à cause […]

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Effect of stilbenoid extracts from viticulture by-products on grape quality

The project “Effect of stilbenoid extracts from viticulture by-products on grape quality” aims to contribute to the development of sustainable strategies for grape production in vineyards. Grapevines are susceptible to parasitic diseases and thus are conventionally treated with synthetic or copper-based solutions, with significant environmental drawbacks. Studies have shown that stilbenoids possess potential as a […]

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Carbon Dioxide Functionalization by Aluminum-based Metal-Only Frustrated Lewis Pairs

The continued rise in global temperatures, driven by excessive greenhouse gas emissions, has brought carbon dioxide (CO2) to the forefront of global challenges. As the most abundant greenhouse gas, CO2 presents both a critical issue and a unique opportunity: its removal and conversion into value-added products have become key goals for scientists, industries, and policymakers. […]

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Leveraging AI and IoT to predict heatwaves in Canada: A climate health initiative

This project uses AI and smart thermostats to predict heatwaves in Canada, helping protect public health. By analyzing indoor and outdoor temperature data, we aim to improve heatwave forecasting and understand how extreme heat affects indoor spaces. Using machine learning, we develop models to predict future indoor temperatures, supporting better planning and response strategies. The […]

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Integrating High-Resolution UAV Data and Machine Learning for Monitoring and Analyzing Soil Erosion in an Agricultural Landscapes

This project aims to improve the monitoring and management of soil erosion in agricultural landscapes using advanced technologies like combinations of optical and LiDAR data from remotely piloted aircraft with machine learning. By creating detailed, high-resolution models of soil erosion and deposition, the project will help quantify erosion processes more efficiently than traditional methods. The […]

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