Machine Learning for Personalized Radiation Therapy Treatment Planning Optimization using Historical Data

Radiation therapy treatment planning is a critical and highly complex step in cancer treatment, requiring significant expertise and time to adapt and personalize treatments to each patient’s condition. Current planning methods often rely on manual expertise and standardized approaches, which can limit the degree of personalization and contribute to variability in outcomes. This project addresses […]

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Data-driven Decision Making to Balance Environmental and Economic Impacts of City Growth

The building sector represents Canada’s third-largest source of greenhouse gas emissions and is one of the most difficult sectors to decarbonize. Policymakers must reduce emissions while also addressing Canada’s severe housing affordability crisis. Without effective tools to find solutions that tackle both issues together, there’s a risk that neither may be resolved successfully. This project […]

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StomaVR: Educating Pre-Surgery Patients about Stoma Management in Virtual Reality

A stoma is a small, surgically created opening on the abdomen that is used to remove body waste into a collection bag. Stomas are common in procedures related to cancer, injury, and bowel and bladder issues. However, stoma operations introduce challenges. Patients often experience fear and anxiety prior to surgery, and must typically stay in […]

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Development of a Production Schedule Application

Despite having world-class print technology, our current method for scheduling production jobs remains largely manual, using spreadsheets, verbal communication, and siloed documentation. This leads to inefficiencies in forecasting, lack of visibility across teams, missed opportunities for optimization, and inconsistent job tracking. With increasing job volumes and the complexity of multi-machine workflows, Marketing Kitchen needs a […]

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Monitoring the mental health of Canadians

The COVID-19 pandemic had a great impact on the mental health of Canadians. Surprisingly, as of April 2022, self-rated levels of anxiety and depression were comparable to the ones observed during the worst periods of the pandemic, according to data collected by MHRC. Therefore, it is important that we continue to monitor the mental health […]

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Origin Product Demand Analysis and Manufacturing Capacity Optimization

The primary objective of this project is to assess the demand forecast and optimize FluidAI’s manufacturing processes for Stream Platform, FluidAI’s first commercial offering, based on the recent commercial successes in Canada and the Middle East as well as a planned entry into the US, European, and Asia Pacific markets. The first phase of the […]

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Inflation Technique in Fermionic Networks

This project explores how different kinds of quantum systems can produce different patterns of correlations in networks; i.e. when several parties perform experiments on shared resources. A famous result known as Bell’s theorem showed that quantum physics allows correlations that cannot be explained using classical models without communication between the parties. Recent research suggests that […]

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Advanced numerical modelling tools for entanglement harvesting with superconducting devices

The project “Advanced numerical modelling tools for entanglement harvesting with superconducting devices” is dedicated to developing tools for a foundational experimental test of quantum entanglement within the framework of quantum field theory. While this theory serves as a cornerstone of modern physics, significant questions regarding the description of quantum measurements and entanglement remain. This research […]

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Comparative Evaluation of Saliva Collection Modalities

This project will evaluate simple methods for collecting and preparing saliva samples for concussion biomarker research. The work will compare different collection approaches to determine which provides more consistent results. All experiments will use artificial saliva, allowing the methods to be tested in a controlled laboratory setting without using human samples. The results will help […]

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Biodiversity Mapping Project: Collecting field data to improve land cover classification.

The Biodiversity Mapping Project (BMaP) aims to generate refined mapping tools to address key data gaps and improve how lands and habitats are planned for, managed, and protected in the eastern Georgian Bay region. Indigenous communities, municipalities, conservation organizations, and land managers currently rely on land-cover and habitat maps that are outdated or too general […]

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Health Research Assistant

The internship will be a single internship for July Health – a digital health startup on a mission to fill the gap in diagnosis and care for women’s chronic hormone conditions. July Health delivers telemedicine services across Canada with a medical team that includes registered dietitian, social workers, and nurse practitioners. As a growing virtual […]

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L2M-The development of eco-friendly and renewable bioplastic materials from agricultural and food waste streams

This project will help BioPolatis turn their 100% compostable bioplastics into a market-ready product. The intern will research potential customers, test business ideas, and develop a clear commercialization strategy. By the end of the project, BioPolatis will have actionable steps to grow their business, scale production, and enable companies to adopt sustainable packaging solutions. This […]

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