Many organisms, such as bone, depend on fluid-filled network structures for cellular transport, signaling and mechanosensing. Bone is made of a network called the lacunocanalicular network (LCN), which consists of lacunae that house osteocyte cells connected together by a network of 300-nm wide canals called canaliculi. An understanding of this vast network is incredibly important […]

Of the five mass extinction events preserved in the fossil record, the Ordovician-Silurian mass extinction (the so-called “first mass extinction”) is unique in that it had extremely limited long-term impacts. Despite eliminating over 50% of all species on Earth at the time, shallow marine communities around the globe rapidly recovered, providing scientists a unique opportunity […]

Good water quality is essential to the lifestyle, economy, and ecosystem health of Georgian Bay (GB). Unfortunately, water quality is being degraded due to an excess of nutrients entering the water through recreational development. Excess nutrients, specifically phosphorus, can lead to agal blooms, reduced water clarity, depleted oxygen levels and aquatic dead zones where wildlife […]

Deep brain stimulation (DBS) is a complicated electrotherapeutic medical procedure which provides irreplaceable therapies and treatments for several nervous system disorders, such as Parkinson’s disease. Advancements in the electrodes designs will improve the delivered therapy and enhance the efficacy of the DBS system. The objective of this project is to begin preliminary designs for deep […]

Canada, Mexico, and United States are members of a free trade agreement (USMCA), which seek to build stronger local supply chains and stimulate financing in strategic industries, such as lithium batteries, semiconductor chips, and green energy sources. Because, due to the pandemic situation and the reduction of chips production, companies, and government from USMCA are […]

A modular quantum computer is a system that utilizes the principles of quantum mechanics to store and process information. Although quantum computers have the potential to offer significantly greater computational power than classical computers, their development is complicated by a lack of scalabil-ity. To address this issue, small quantum processors or modules are employed, which […]

The proposed project aims to study the use of cooling therapy for infants in Canada, with a focus on analyzing existing protocols and the cooling therapy market. The goal is to gain a better understanding of the Canadian healthcare system and how cooling therapy as a more efficient alternative and across a larger geographical to […]

The purpose of this project is to develop an Artificial Intelligence and Machine Learning Algorithm that can be used to objectively quantify the athletic potential that different athletes have both in their sport and in less-frequented sports. This AI will use the information provided regarding an athlete’s testing results to predict and quantify an athlete’s […]

The intern will conduct a multidisciplinary market research project on international critical technology and advanced manufacturing techniques, with the goal of identifying viable strategic partnerships for Canada. They will create documents, presentations, and brochures for various technologies to spread awareness of commercial opportunities and encourage sector growth in Canada. In partnership with the Cansbridge Fellowship […]

The intern will take part in a multifaceted project surrounding sustainability in industry and clean advancements in advanced manufacturing techniques within a multitude of different sectors. The intern will perform an in-depth study on Canada’s status regarding advanced manufacturing and utilize social media platforms to relay novel information to promote interest, engagement and an entrepreneurial […]

This project will require a combination of theoretical and empirical modeling based on extensive experimentation to develop a predictable solubility model in organic acids and salts mixture systems. The successful completion of the project will allow the company to predict capability of the complex mixtures during products development. It can be used by formulators & […]

Monocular depth estimation aims to infer the distance information of objects in a 2D image. It is an integral part of many computer vision tasks and has applications to autonomous driving, robotics, and virtual reality, among others. This project focuses on developing a new deep-learning-based monocular depth estimation method with high efficiency, competitive performance, and […]