Identification of novel immunomodulators from Heligmosomoides bakeri

Parasitic worms make molecules that block their hosts immune responses, leading to chronic infections. The molecules, called immunomodulators, block immune responses to the worms themselves and have more general effects on the immune system. A small number have been characterised and can interfere with different immune pathways. Research is ongoing to develop them for managing […]

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Techno-Economic Study on Aircraft Emissions Reduction at the Calgary International Airport

A techno-economy study will be conducted to identify and quantify Scope 3 emissions at the Calgary International Airport to determine the economic impact of financial schemes and/or operational practices that the Calgary Airport Authority can implement to reduce aircraft ground emissions at the airport. Potential financial schemes include incentives, discounts or extra charges, and mandates, […]

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Value Proposition for AI-Assisted Cancer Diagnostics

A prominent issue with modern diagnostic tests is analysis of the large data sets that are produced by multiplexed analytical instruments. Qualisure Diagnostics, Inc. has devised a proprietary platform to tackle this issue. This technology is now at an advanced stage, and requires further development and market analysis to reach customers, users, and test designers. […]

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Predicting the bond dissociation enthalpies in lignin-derived molecules using quantum machine learning models

Bond dissociation enthalpy (BDE) is a fundamental chemical property for predicting molecular stability and reactivity. BDEs are crucial for understanding antioxidant efficiency, enzyme catalysis, surface functionalization chemistry, and drug discovery. This project will focus on predicting BDEs for C-O and C-C bond types in lignin-derived molecules, essential for efficient lignin decomposition processes in biofuel production […]

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Exploring Quantum Computing for Public Transit Origin-Destination Matrix Estimation

This research explores the integration of quantum computing with statistical methods to enhance public transit origin–destination (OD) matrix estimation. Traditional OD estimation relies on automated fare collection (AFC) and automatic passenger counting (APC) data, which often present challenges due to incomplete coverage. Scaling techniques like iterative proportional fitting (IPF) help address these gaps, but their […]

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Business Development and Marketing Intern

Sport Product Testing offers a comprehensive of testing and validation services for companies health and wellness industry. The internship project is aimed at improving the visibility and reach of Sport Product Testing to small and medium enterprises. To address this, SPT is looking to bring on a master’s in biomedical technology student to help enhance […]

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Assessing co-benefits of CO2 utlization technologies

The proposed research project addresses the transformative potential of CO2 valorization in industrial processes, turning waste emissions into valuable products while advancing economic and environmental goals. Carbon capture and storage (CCS) is a necessary option, but in a truly circular, net-zero economy, there will be opportunities for CO2 to be used as a resource. We […]

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Metaverse plugin

Development of a system (template, plugin, API) to integrate cloud based services such as GIS, IoT and interactive gaming streams into a browser based user interface.

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TU Berlin Summer Research on Bacteriophage Biology and Structural Analysis

This project investigates the SPbeta bacteriophage, a model organism in phage biology with significant implications for microbiology and biotechnology. The primary objective is to develop and refine methods for its purification and biochemical characterization, enabling a detailed analysis of its structure and function. Using targeted deletion mutants, we aim to identify key genes and proteins […]

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Applied Geospatial Research Group (AGRG) 2025 Research Internships

The boreal zone of Alberta is under increasing pressure from natural resource extraction. Roads, seismic lines, well pads, and other industrial-disturbance features exert cumulative environmental effects on the region’s vegetation, wildlife, hydrology, and carbon dynamics. The purpose of this project is to develop remote-sensing tools and workflows that help us describe, understand, and mitigate some […]

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