Universal ultrasound transmission pipeline and database development

Wosler’s mission is to “To improve accessibility and reliability of high-quality healthcare for all”. In order to achieve this we must be able to provide high quality imaging services to those in rural and remote areas. The ability to transmit high quality ultrasound images to a remote computer is an integral step for the development […]

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Microwave Spectroscopy of Antihydrogen

The Big Bang is predicted to have produced equal amounts of matter and antimatter; however, the universe is dominated by matter and there is much less of its counterpart. The ALPHA (Antihydrogen Laser PHysics Apparatus) collaboration, based out of CERN, investigates the matter-antimatter asymmetry problem by creating and performing experiments on antihydrogen to compare it […]

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Quantum Error Correction with High-Dimensional Nuclear Spins

Quantum information processing is a game changer for information technology: currently information is representable as strings of binary digits, or bits, and logical processing is performed according to the principles of boolean algebra. Quantum mechanics allows us to work with superpositions of states and perform quantum logic, which preserves the coherence vital for quantum information […]

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Market Research

This project aims to thoroughly understand the diagnostic testing market in Canada, the US, and Globally. The project will task the intern to elucidate and report on the current global, North American, and Canadian landscape for Lateral Flow Assays (LFA’s), including identification of the current manufacturers, distributors and sellers, and test manufacturer and retail price […]

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Data visualization and evidence synthesis to inform the Sensitive Measurement Project

To ensure that PPPH priority projects are developed using the most up-to-date evidence and to increase the likelihood of project success, evidence synthesis will be crucial in facilitating a deeper understanding of community health issues, the contributing factors, associated health inequities, and appropriate interventions to improve health outcomes. The objectives of this project are: 1) […]

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Facies control on fracture characteristics in the Cardium

Hydrocarbon production from the Cardium Formation of the Western Canada Sedimentary Basin peaked in the 1970’s. However, in recent years multistage hydrological fractured horizontal wells have unlocked large volumes of oil from low porosity permeability thin-bedded sandstones, laminated shales, and the bioturbated muddy sandstones. However, the geometry of the induced fractures is poorly understood. The […]

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Microwave Front End for Specialized Vector Network Analyser

Wave View Imaging is developing a portable and comfortable breast imaging device using low power microwave technology. The project will consist in developing an extremely sensitive and fast hardware to enable the measurement of very low power microwave signal in a short time frame.

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Health and Innovation Analyst for AHS- Early Innovation Advancement Program

Alberta Health Services (AHS) is a large provincial health authority serving the health needs of the population of Alberta with a mission to provide patient-focused, quality health system that is accessible and sustainable for all Albertans. Inclusion of technology innovations within the system and in the community can support AHS’ mission. The challenge, however, is […]

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Radar Localization and Integration for Future Autonomous Car Navigation

The purpose of this project is to offer low-cost navigation solutions for autonomous vehicles based on automotive radars that can work efficiently in all weather conditions and degraded vision environments. Radar will be utilized to estimate the vehicle’s relative position. The radar solution will be integrated with the inertial navigation system (INS) solution to limit […]

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Machine learning for membrane simulations

The proposed research aims to apply the capabilities of machine learning to study molecular models of cell membranes. Cell membranes are composed of fluid lipid bilayers with a highly dynamic nature. By developing neural network models for the simulation of lipid bilayers, we seek to overcome the shortcomings of current computational methods, providing superior accuracy […]

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