Effect on Electromagnetic Fields on Blood and Insulin Blood Levels

In recent years, many studies have investigated and demonstrated the positive effects of electromagnetic field (EMF) stimulation on fracture healing, pain management, cancer treatment, or neurological disorders. With the increasing number of diabetes patients in the current society, the use of EMF could potentially be used as a new alternative and non-invasive method to treat […]

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Strategy and Operations Innovation Intern

The overarching goal of the internship at Upgraded is to leverage process improvements, and the capabilities of artificial intelligence (AI) to streamline operations processes, providing insights, and craft highly personalized proposals tailored to specific segments. The aim is to establish a comprehensive framework using drafting methodologies and systems that enhance the efficiency of proposals and […]

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Development of an Integrated Biodiversity Monitoring Framework Using Ground Sensors

Veritree collaborates with businesses to integrate verified tree planting projects into their strategies, fostering sustainable environmental restoration globally. In partnership with Concordia University, this project focuses on enhancing biodiversity monitoring by evaluating sensor deployment and data collection practices while also creating tools and methodologies for processing data from sensors installed at veritree’s restoration sites. By […]

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Improving the efficiency of clinical data sourcing to maintain accurate and relevant information on Komuni, an application on Doctalk that supports Canadian patients with hematological malignancies.

Komuni is a mission-driven application focused on providing accessible, patient-oriented information on hematological malignancies. We plan to onboard a dedicated and curious medical student to join our team for a hands-on learning experience that merges academic research with public health education. During this placement, the student will critically evaluate peer-reviewed literature across six key disease […]

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Qinvst Platform Engine

Qinvst Inc. is building an AI-powered financial intelligence platform to support small businesses with advanced yet accessible forecasting, valuation, and marketing attribution tools. Currently, startups struggle to afford the expertise needed to create investor-ready financial models. This project aims to democratize access to strategic financial insights without requiring expensive data science teams. The intern will […]

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Fibre-Optic Sensing with Ambient Noise for Improved Understanding of Landslide Behaviour

Landslides are natural hazards, commonly triggered by heavy rainfall, glacier melt, and permafrost degradation. This project explores an emerging fibre-optic sensing technology, Distributed Acoustic Sensing (DAS), which can enhance our understanding of slope failure processes. DAS transforms fibre-optic cables into thousands of sensors capable of detecting small-scale ground deformation in near-real-time. This project will apply […]

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Monitoring recovery dynamics of salt marsh pools with focus on their habitat provisioning to fish

Salt marshes are highly productive coastal ecosystems that have faced extensive impacts from human activities. They provide an extensive array of services including the provisioning of habitat to a diversity of species. In Maritime Canada, acres of salt marsh have been diked to accommodate agricultural land, freshwater impoundments, and infrastructure. Increasing recognition of the services […]

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Lie Group Harmonic and Statistical Analysis of Human Movement

Statistical and harmonic analysis of 3-dimensional motions of objects or humans are instrumental to establish how these motions differ, depending on various influences. When such motions involve no tearing, they may be described by elements of the Euclidean Group. Algorithms developed in the author’s Ph.D. dissertation exploit the unique properties of Conformal Geometric Algebra to […]

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Junior Associate | B-Side Group Consulting Inc

B-Side Group is launching an operational excellence initiative aimed at significantly enhancing our firm’s scalability, efficiency, and client service quality. The primary objectives of this initiative include mapping and standardizing key workflows, developing automated tools and templates to streamline administrative processes, and establishing a centralized repository for firm-wide knowledge management. This project will deliver clear, […]

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Dual opportunity and risk of LLM-based language translation in international institutions

In accordance with the Digital Policy Hub research foci on artificial intelligence, as well as digitization, security and democracy, the underlying purpose of the project is to research the limitations of language translation technologies in order to suggest updated policy for international institutions to responsibly use them. This directly supports the Digital Policy Hub’s objective […]

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Adaptation et résilience : utiliser l’ADS+ pour comprendre et relever les nouveaux défis de l’itinérance face aux changements climatiques au Québec

Le Québec est confronté à une intensification des effets des changements climatiques, exacerbant les défis liés à l’itinérance, une crise amplifiée par l’escalade du coût de la vie et une crise du logement. Pour répondre à ces enjeux, le projet vise à vise à comprendre et à réduire les impacts des bouleversements climatiques sur les […]

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Automating Hypothesis Tree Generation for Early Pandemic Detection through Knowledge Graph Construction and Large Language Models

This project aims to automate the early detection of pandemics by constructing knowledge graphs from open-source data, by providing direct enhancement to an important R&D project, the Health Emergency Monitoring (HEM) tool, of the partner organization. The research, when completed, will provide advanced AI capabilities (more specifically the incorporation of state-of-art LLM), and reduce the […]

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