Pulsating Airlift Pumps for Vertical Farming Applications

The need for food (26.6% increase since the year 2000 according to Statistics Canada 2016) and the cost of energy are increasing rapidly as the world population continues to grow exponentially. Moreover, world-wide demand for fresh water is rapidly increasing while supply is very limited. Agriculture uses 70% of the global fresh water supply as […]

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Gnowit BSI-Madiha

The purpose of this internship is to develop a marketing and sale process implementing automation tools to scale the Gnowit business. This could be achieved by applying strategies based on effective digital marketing, prospecting, account management and customer care.

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Preventing and Responding to Gendered Violence on Campus: A Study of Policies & Practices at Canadian Universities

The purpose of the research is to describe the nature of university policies and practices related to gendered violence at Canadian universities, in order to identify promising practices for preventing and responding to gendered violence. A description and analysis of university policies from across Canada will provide a useful context for evaluating the policies on […]

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Parking Utilization Assessment Using Deep Learning

Analyzing parking behavior and usage in large open-concept retail centers enables owners and managers to better understand how their parking facility is being used. Most large, open-concept shopping centers are experiencing a parking oversupply problem. Current parking allocation is inefficient and contributes to urban sprawl, large concrete pads that trap solar heat and a waste […]

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Wild bee pollinator habitat restoration through dietary breadth, nutrition and microbiome characterization across Canada

Wild bees are vital to our parks, gardens, greenspaces and ecosystem services, but we know surprisingly little about their habitat requirements and dietary breadth. In this proposal, we will characterize wild bee nutrition including their health and microbiomes across Canada. The postdoc will learn skills in bioinformatics, science writing and science communication. The W. Garfield […]

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Developing point of care diagnostic tools to improve patient outcome – Understanding the need for point of care pathogen detection

Spectra’s first technology allows for police to analyze drugs at the scene of a crime, meaning they know what they are dealing with immediately, versus standard one to three-month turnaround times from current lab testing processes. Public health can also use the tech at supervised consumption sites to help those who use drugs make informed […]

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Development Project for TCDC

The Carret Dance Conservatory (TCDC) provides serious Ballet and contemporary training for dance students from a young age to a professional level. Despite the excellent curriculum TCDC offers, they have been receiving a negative cash flow since April due to the lack of marketing and the inability to alter business development plans under change and […]

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OEEDC x Helen Wang

The project will assist in development of a supply chain analysis and marketing strategy to support the transition of existing and new eastern Ontario companies to emerging opportunities in the advanced manufacturing, medical devices and food supply chains. This work will include integration of a virtual 3D tool the organization has developed as a new […]

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Development of Enhanced RF-ICP thermal torch for waste to energy and radioactive waste material treatment

The fields of plastic waste management and radioactive waste treatment are essential for sustainable society that utilizes plastic waste for energy production and radiation safety. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. The mentioned challenges could be eliminated using a more reliable and controllable thermal source such […]

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A Deep Risk-Sensitive Reinforcement Learning Framework for Portfolio Management

In Finance, the use of Automated Trading Systems (ATS) on markets is growing every year and the trades generated by an algorithm now account for the majority of orders that arrive at stock exchanges. Historically, these systems were based on advanced statistical methods and signal processing able to extract trading signals from financial data. However, […]

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Structural and thermal performance of optimum 3D printed parts from continuous carbon fiber-Poly Ether Ether Ketone composites

Additive manufacturing, also called 3D printing, of composites can manufacture final parts with high strength and stiffness. In this project, carbon fiber composites with a high temperature polymer are used for 3D printing. A custom 3D printing head installed on a robotic arm is used for manufacturing. Specimens are 3D printed to evaluate structural and […]

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Dynamic Deep Generative Graph Models for Financial Forecasting

Borealis AI has access to a huge amount of financial data related to the stock market and is interested in leveraging recent developments in machine learning to better understand this data. Some potential questions emerging from this data are: (1) Given the closing price of a stock in the recent months, can we predict the […]

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