Multi-SNP prediction model for lung function decline

Chronic obstructive pulmonary disease (COPD) is a 3rd leading cause of death (1) which decreases lung function due to irreversible airway obstruction. The main indicator of the progression of COPD is a rate of the forced expiratory volume of 1 second (FEV1) decline. The intern will build the prediction model for the slope of FEV1 […]

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Deciphering the catalyst-ionomer interface in fuel cells: Molecular dynamics simulations of local transport properties

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This […]

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Deciphering the catalyst-ionomer interface in fuel cells: Molecular dynamics simulations of local transport properties – Year two

Polymer electrolyte fuel cells are a key technology in the race against climate challenge, and while commercial applications are increasingly common, challenges remain in cost, performance, and durability. Most of the issues that prevent full commercialization affect the catalyst layer, the region where the power-generating electrochemical reactions take place, like the oxygen reduction reaction. This […]

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Technology portfolio management approach for new biopesticides products

New biopesticides products development usually incurs high cost and high risk for clean tech companies. R&D resource allocation is challenging. There are difficulties with technical/market uncertainty and with evaluating the potential contributions of technological investments to firm specific intangible assets. Technology portfolio management (TPM) is a dynamic decision process in which new development projects are […]

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Deep Neural Networks for applications in public safety

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]

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Medicinal Chemistry Studies on Small Molecule Glucocerebrosidase Inhibitors

The objective of this internship is to create new chemical compounds that can be used to further our research and understanding of a human enzyme known as GBA2 – implicated in several debilitating diseases and signalling pathways in the body. These compounds would not only serve as tools to probe GBA2 for additional information but […]

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Consequence assessment of potential tailings storage facility failures within the Canadian context

Recent catastrophic tailings storage facility (TSF) failures have resulted in immense societal, environmental and economic losses. Currently, research on TSF risk is primarily focused on the technical reasons for failure or post-failure environmental damages. Furthermore, limited research explores the financial, environmental and social consequences of potential TSF failure within potential tailings inundation zones. This project […]

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Twitter Data Processing

Given the plurality of voices available on the I nternet, it is often difficult to estimate the level of expertise of the individuals that one encounters in cyber-space. On the other hand, it is also difficult for any individual expert to establish their credibility in this sea of screaming voices. Therefore, it is desirable to […]

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Investigating the effect of the Virtual Meditative Walk on brain in chronic pain conditions: A longitudinal fMRI study

The Virtual Meditative Walk (VMW) (1) is a well-developed therapeutic protocol that can be used alone or in combination with the Mindfulness-Based Stress Reduction techniques in an Immersive Virtual Reality (IVR) environment. It has been shown to be effective in reducing pain levels in patients with chronic pain (CP); however, little is known about how […]

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Investigating the effect of the Virtual Meditative Walk on brain in chronic pain conditions: A longitudinal fMRI study – Year two

The Virtual Meditative Walk (VMW) (1) is a well-developed therapeutic protocol that can be used alone or in combination with the Mindfulness-Based Stress Reduction techniques in an Immersive Virtual Reality (IVR) environment. It has been shown to be effective in reducing pain levels in patients with chronic pain (CP); however, little is known about how […]

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Understanding the Operational, Human, and Policy Implications for a Roadmap to Canada’s Next Generation 9-1-1 Services

The project will create a research-based strategic plan and roadmap that describes when and how to best introduce NG-911 services in British Columbia. The research needs to consider the unique BC context including review of current legislation, our emergency response structures and practices, current technologies, societal expectations and political norms. The work also needs to […]

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Market Analysis of Next-Generation Lithium Batteries

Lithium-ion batteries have revolutionized electronics over the past two decades, however, they do not have sufficient energy density to meet the long-term needs of society, such as the development of electric vehicles. This formidable challenge has driven research into many new battery technologies with different chemistries and configurations, but it remains unclear which technology is […]

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