Healthcare systems operate as complex socio-technical environments, involving unpredictable interactions among patients, clinicians, technologies, administrators, and institutional policies. These systems are often under significant pressure to improve performance, reduce costs, and enhance patient safety—yet they frequently lack the tools to simulate the consequences of operational decisions before implementation. Traditional approaches like retrospective analysis or static […]

Gestational diabetes mellitus (GDM) affects up to 20% of pregnancies in Canada and is often diagnosed late, between 24–28 weeks, leaving limited time for preventive action. This delay can lead to serious complications for both mother and child, including preterm birth, macrosomia, and long-term risk of type 2 diabetes. Women with infertility, PCOS, insulin resistance, […]

This project will explore how to bring a new clean technology called Propel to market. Propel is a device that helps ships use less fuel by reducing how much they rock and move on the waves, while also turning that motion into clean electricity. The intern will talk to people in the shipping industry to […]

Antioxidant dietary fiber is an emerging concept that combines the health benefits of dietary fiber and natural polyphenolic antioxidants into a single functional ingredient. Dietary fiber supports gut and heart health, blood sugar regulation, weight management, and digestive well-being. Phenolic compounds, commonly found in colorful fruits and vegetables, help protect the body from oxidative damage […]

This project will validate the commercial potential of DeepFault AI, an advanced geoscience software solution that automates seismic fault interpretation using deep learning, with integrated uncertainty quantification and quality control (QC). In energy sectors such as oil and gas, geothermal, and carbon storage, reliable subsurface interpretation is essential. Traditional fault detection methods are slow, subjective, […]

The aim of this internship is to investigate the possibility of a scaled-up green process to design, and develop an industrial plant to remove the hazardous materials from spent secondary materials such as spent petrochemical catalysts, in Atlantic Canada. The intern will be responsible to develop a whole process flow diagram, as well as a […]

The goal of this research is to explore opportunities for the Newfoundland and Labrador government to optimize BAs with oil and gas companies in a manner that feeds the development of entrepreneurship and innovation throughout the province. IVC Consulting Inc. is a Newfoundland-based consulting group that helps clients find innovative, valuable and creative ways to […]

)The research proposal is designed to examine the relationship between metabolism and the autonomic nervous system during exercise and recovery. This randomized, controlled crossover design experiment will consist of three sessions. The first session is a familiarization session. The second and third sessions will be the same, except the exercise portion will be done in […]

This research project in intended to explore the personal health and safety factors that indicate risk in the oil and gas sector and whether there are any early-warning risk factors that exist. In this industry, organizations typically measure risk by analyzing the personal safety of its workers. Currently, personal health and safety is measured using […]

Astrophysical simulations require significant computational resources. Most high-performance supercomputing clusters nowadays include a complement of graphics processing units (GPUs), as these have been shown to be highly efficient in terms of computation for the amount of energy consumed. Using only the CPUs (central processing unit) of a supercomputer leave the GPUs underutilized, wasting their potential. […]

This project will help Voronoi Health Analytics improve and refine their advanced artificial models used for automating interpreting and analyzing medical images. The intern will help with data collection processes that are required in order to train state of the art AI models for automating medical image analysis, resulting in more efficient and effective health […]

This project aims to answer the research question “can existing AI/ML models from other domains be applied to help address marine bioacoustics challenges?” One of the key challenges is that marine bioacoustics lags behind terrestrial bioacoustics in the level of research attention and technical advancement. Additionally, bioacoustics as a field has been slower in leveraging […]