Building Language-Based Tourism Opportunities in Haida Gwaii, Canada

The purpose of this project is to work with the Haida to implement a community-based tourism program to support the development and revitalization of their language. Based on the findings of a doctoral thesis undertaken with the community, the program will support culturally appropriate uses of language within tourism settings. Foundational to the program is […]

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Technical Process Technician & Data Management Assistant

Bryan & Company LLP is a mid-size full-service law firm in Edmonton, Alberta, with a long history of community engagement dating back to 1928. The firm’s vision for its next 100 years is supported by a strategic plan designed to guide its operations from 2023 to 2028. This strategic plan (the first strategic plan implemented […]

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OQULi online RAG service platform implementation

Integration of R&D efforts produced from the Dalhousie Computer Science team in 2024 on AI Comparison capabilities for the application CODiii Rogue. Successful individual will be compiling an integrated python backend to a newly design UI with the injection of results from previous AI findings. In addition to the work outlined above, this project will […]

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The Business Case for Sustainability: Cost Savings and New Revenue Generation through Implementing Sustainable Community Plans in Small Ontario Municipalities

The proposed research project to be undertaken by the intern aims to find cost-saving trends of market-based instruments and other mechanisms for small municipalities. By collecting data indicating the performance of different types of market-based instruments and other mechanisms the intern will be able to distinguish which ones have seen the most positive results in […]

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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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Efficient Computational Methods for Understanding Back Move-ment and Pain from Dynamic Data Modeling

This project uses machine learning algorithms to better understand back movement and low back pain. We apply supervised learning time series algorithms to data collected from Backtracks’ wearable de-vice — which consists of a malleable think curve that reads data collected from the participants’ spine movements. At each time step, such movements are represented as […]

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Energy Audit Reporting Automation with Artificial Intelligence (AI) and Machine Learning (ML)

Currently, energy audits at Dillon Consulting Limited take 2 to 3 days to generate comprehensive reports, consuming significant auditor time due to the manual process. This inefficiency diverts auditors from critical tasks and introduces inconsistencies, especially in buildings with multiple facilities. It limits Dillon Consulting’s ability to meet increasing demand for energy management practices. There […]

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Dissecting the role of PCSK9 in sepsis

Severe sepsis strikes young and old alike with an increasing incidence of >75,000 per year in Canada at a cost of $40,000 per patient. In 40% sepsis is complicated by low blood pressure and organ failure with a mortality rate of 30-60%. The number of deaths due to severe sepsis and septic shock is greater […]

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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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