Research and Data Entry Intern

We are currently facing challenges in managing and organizing a growing amount of data. Our existing database structure is becoming increasingly inefficient, leading to difficulties in accessing, analyzing, and utilizing critical information. Additionally, we have identified a need for more thorough research and data analysis to support strategic decision-making. Due to the amount of research […]

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Industrial Applications of Frequency Comb Lidar

The goal of the proposed research project is to explore applications of frequency combs, for which laboratory applications have already been demonstrated, in an industrial setting. The research will be mainly focused on chemical sensing of stack emissions for monitoring purposes. As a secondary objective, the use of frequency combs in vibrometric measurements for structural […]

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Fabrication of Antifouling Liquid-Infused Catheters

Catheter-associated infections (CAIs) pose a significant healthcare challenge in Canada and worldwide. CAIs contribute to increased patient morbidity, prolonged hospital stays, and a significant burden on the healthcare system. With an aging population and growing antimicrobial resistance, there is an urgent need for innovative infection prevention strategies. This project explores using repellent liquid-infused catheters to […]

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Conciliation travail/étude-famille et francisation chez les pères immigrants d’expression anglaise au Québec

Au Québec, de nombreux pères immigrants d’expression anglaise doivent jongler entre leur travail, leur famille et l’apprentissage du français. Ce défi est encore plus grand lorsqu’ils doivent assurer la stabilité financière de leur famille tout en essayant de s’intégrer dans une société majoritairement francophone. Cette recherche vise à mieux comprendre les difficultés rencontrées par ces […]

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Minimally Invasive Machine Unlearning via Monosemantic Neural Activation Identification

In the age of artificial intelligence, machines learn from vast amounts of data to make predictions and decisions. But what happens when we need them to “unlearn” something—whether to protect privacy, correct biases, or comply with regulations? Existing approaches to machine unlearning can be effective at removing specific data from a model’s memory, but they […]

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A machine learning based approach for supporting triage of HIV-related documents

The number of biomedical scientific publications available in multiple repositories is huge and rapidly growing. As of April 2014, PubMed, the largest knowledge source for biomedical and life science literature, comprises more than 23 million citations. Querying PubMed with the keyword HIV provides a list of almost three hundred thousand citations. Retrieving data of particular […]

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Suivi longitudinal des qualités physiologiques de fondeuses élite-relève

Les athlètes d’endurance ont recours à l’entraînement par intervalles de haute intensité afin de maximiser l’éventail des adaptations physiologiques qui sous-tendent la performance aérobie. Cependant, il existe une grande variabilité de réponses à l’entraînement selon les caractéristiques physiologiques des athlètes et de leur sexe, et l’identification des séances d’entraînement bénéfiques à toutes et tous est […]

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Reproduction artificielle du loup tacheté: efficacité de différents produits pour le dégommage des oeufs

L’aquaculture est une industrie à forte croissance à l’échelle globale mais qui tarde à se développer au Québec. L’élevage de nouvelles espèces pourraient aider à diversifier et stimuler cette industrie. Le loup tacheté est une espèce marine d’eau froide qui possède d’excellentes caractéristiques pour l’élevage commercial. L’étape de reproduction est maîtrisée, mais le succès d’incubation […]

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Researching strategic and business opportunities: using AI to foster animal (pet) health

Empawerpet (empawerpet.com) is pioneering the field of canine mental health diagnostics through their veterinary clinic-based biomarker testing platform. While they have established a foundation in biochemical analysis, they recognize the need to expand their diagnostic capabilities through a new AI non-invasive, accessible methods. The company is therefore interested in expanding their current clinic-based biomarker testing […]

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