Evaluating effects of local, landscape, and regional factors on Bobolink (Dolichonyx oryzivorus) nest survival

The bobolink (Dolichonyx oryzivorus) is a migratory songbird that is currently a species at risk in Canada due to steep population declines. Because bobolink nest on the ground in pastures, hayfields, and other grassland-type habitats, nest success and abundance may be influenced by various environmental factors. Our goal is to understand whether these factors directly […]

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Using Marine Technology to Develop a Gulf Islands Marine Biology Education and Outreach Program

With the increase of human impacts on the ocean, more effective and engaging environmental education is needed to inspire action. The Galiano Conservation Association (GCA) aims to educate the public about marine conservation issues around Galiano island. The intern will help GCA to understand how to improve their marine education program, using underwater video technology […]

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Exploring the Impact of Housing-based Overdose Prevention Interventions on People who use Drugs in Vancouver – Year two

Canada is amid an opioid epidemic, with governments declaring overdose public health emergency. Drug-related overdose mortality in British Columbia reached a record high in 2017, with over 1400 deaths. In response, novel overdose prevention interventions (OPI) have been implemented, including: overdose prevention sites in which people can inject drugs under supervision; and, naloxone training and […]

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Data mining and personalized recommendation for an online luxury fashion retailer

The September is an online luxury retailer. In this research project, we are going to design and implement a personalized recommender system to enhance customers’ online shopping experiences. The past transaction data and browsing history as well as the demographic information of customers will be analyzed to identify the purchasing patterns, shopping trends and user […]

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Machine learning applied to drilling in open pit mines

The project involves identifying changes in mineralization during the drilling of the blast holes. During drilling, an experienced driller is able, to a certain extent, to detect signals that indicate that a zone change is occurring: vibration in the cabin, rotation rate, etc. The aim of this research project is to use data collected by […]

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Structure of sediments formed in tailings treatment

This project will combine filtration characterization and advanced 3D imaging and modelling of material structures to find ways to improve the recovery of process water from difficult-to-treat tailings that are the by-product of mining and mineral processing. This process is called solid-liquid separation and it is a critical area for the reduction of oil sands […]

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Natural language understanding and generation

NLP techniques have been used and tested for several years in different environments and for different applications/domains. The performances of the Natural Language Understanding (NLU) toolbox are closely related to the quality of the text but also on the specific knowledge-domain. Social Media content typically use short sentences with simple grammar and tend to include […]

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Magnetorheological Fluid Actuators for various industries

Exonetik designs, develops and manufactures magnetorheological (MR) actuator systems that enable novel functionalities to satisfy unmet customer needs. In collaboration with Exonetik engineers, interns will participate in the design, development and testing of customized magnetorheological actuators for three specific applications in the automotive, manufacturing and health sectors. The expected results of these subprojects will be […]

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Modeling of the Wear Performance of Carbide-Based Overlays and Coatings

Surface degradation during Oil & Gas and Mining operations in the Province of Alberta are pervasive. This has resulted in extensive research and development activities into the development of advanced surface modifications that are based on overlays and coatings. Most research effort has focused on materials selection, fabrication, and optimization of wear performance of those […]

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Developing an Intelligent Conversational Agent Architecture related to the Banking Domain

This research project aims at creating a robust, efficient and reliable conversational agent for the banking domain that will offer a high level of performance in both key areas of conversational agent architecture: Natural Language Understanding and Response Generation. Natural language understanding approaches, retrieval-based models, as well as deep learning will be used to develop the […]

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Model development for membership analytics

This project will lay a foundation for Interior Savings Credit Union to better serve their membership by providing them with the means to discover significant membership groups within their large and complex database. This will be done through a combination of developing novel statistical techniques to discover the groups and writing the computer code needed […]

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Examining brain activity and sport-specific skill learning due to motor imagery

This research will use a brain imaging device newly developed by Axem Neurotechnology to investigate whether providing real-time information on levels of brain activity can help human participants more effectively engage in mental practice. Mental practice has become a widespread addition to the training schedules of elite athletes, as it has been well documented that […]

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