Cold Spray Coatings Qualification for Repair of Aerospace Parts

Many aerospace parts on Boeing aircrafts cannot currently be easily repaired when damaged during operation due to the lack of existing economical-practical repair technologies. For example, damaged aluminum coatings or chromium plating require that the coating/plating be completely removed and then reapplied, an extremely costly and time consuming process. Similarly, aluminum and titanium parts damaged […]

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Mineralogy and isotopic signature of the Marshall lake VHMS deposit, northwestern Ontario

The proposed research project will study processes which took place during formation of the copper-silver-gold deposit in the southern part of the Marshall Lake property, western Ontario. The study will focus on deciphering primary and metamorphic mineral assemblages and conditions of their origin. Studying mineral textures and their chemical and isotopic compositions will allow characterization […]

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Mass spectrometry analysis of beneficial compound profiles of medicinal mushrooms

Mushrooms represent a source of diverse medicinal compounds that have been exploited for centuries. Beneficial compounds have proven efficacy against disease, including anti-fungal, anti-viral, anti-tumoral, anti-bacterial traits. These compounds, along with potential for new discoveries, drive the exploration of mushrooms as a powerful medicinal source and supports their application in the health sector to discover […]

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Finding position and characterization of the defects in 3D point cloud

The inspection process has been an inseparable part of manufacturing to measure dimensions such as diameter, flatness, roundness and straightness of the parts. Besides, on some machined surfaces, it is required to measure roughness and identify surface defects. For defect detection, companies are still relying on visual inspection, which is very slow and labor-intensive. To […]

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Evaluation of therapeudic natural killer cells

The intern will undertake the development and evaluation of a novel gene-edited immune cell therapy for the treatment of different cancer types. The cancer immune cell therapy is a hot and rapidly growing field that has yielded success and clinically meaningful benefits for the treatment of certain cancers. Many of these successes have been with […]

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Numérisation tridimensionnelle d’un véhicule et détermination automatisée de trajectoires robots

Groupe Domax est une entreprise spécialisée dans l’intégration et l’opération de lave-autos mécanisés en Amérique du Nord. Groupe Domax prévoit se positionner comme le nouveau leader mondial en ce qui a trait au lavage automatisé et écologique, et ainsi se démarquer favorablement dans un marché de 19,6 milliards de dollars seulement en Amérique du Nord. […]

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Development of Residential HVAC and Air Conditioning Demand Management and Control Systems – Modeling and Control Desig

The project aims at the modeling and simulation of the HVAC system for the study of energy conservation strategies. After the optimal energy conservation strategies are found through simulations, a central HVAC controller will be developed for the integrated operation of the Archetype House HVAC equipment which will employ the energy conservation strategies such as […]

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Optimizing Thin Film Growth

Thin film deposition equipment is in wide demand amongst academic researchers in chemistry, physics, materials science and electrical engineering, not to mention manufacturers of semiconductor devices, medical consumables, storage media, and optics parts. Thus the size of the market can vary greatly from year to year due to its strong dependence on the health of […]

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Biodegradable Polyurethane Elastomers Comprised of Bio-based Plasticizers

Polyurethane elastomers for consumer applications, are developed with primarily bio-based polyester-polyols, isocyanates and bio-based plasticizers which are specifically tailored to result with the required mechanical, flexibility, and biodegradability characteristics useful for consumer applications, especially for footwear and foam products for furniture and automotive industry.

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Learning priors for data-efficient causal discovery

The inference of causal relationships is a problem of fundamental interest in science. Compared to models that rely on mere correlations, causal models allow us to anticipate the effect of a change in a system. Such causal models have applications ranging from government policy making to personalized medicine. However, learning causal models from data is […]

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