Design optimization of modular panel bridge

4.0. The modular panel bridge is a prefabricated truss bridge. Modular panel bridges have been widely adopted in civil engineering and transportation infrastructure projects worldwide due to their versatility, ease of assembly, and cost-effectiveness, which render it suitable for the construction of both permanent and temporary bridges. The research approach adopted in this project integrates […]

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Gender differences in career progress and inclusion: Navigating the impact of parenthood on recruitment and retention of women in the mining industry

Mine sites are often remote and are unable to provide the same flexibility that other workplaces do. For workers who become parents, these factors make balancing work and family obligations particularly difficult. Because research has shown that younger ( Millennial and GenZ) workers place high value on work-life balance, and because retaining skilled workers is […]

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Effects of thinning on saproxylic beetles in black spruce plantations in northwestern Ontario

The integration of biodiversity value in forest management is becoming more common and widely adopted across many countries. Despite the popularity of conifer plantations and thinning practices in Canada, the current knowledge on long-term effects of mechanical thinning on biodiversity is poorly understood. Saproxylic beetles are a group of insects associated with dead or dying […]

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Business strategy – Europassport

EuroPassport aims to strategically position itself in the market with the introduction of a new SaaS platform to disrupt the legal immigration industry. This project focuses on comprehensive research and analysis to understand market dynamics, customer needs, and competitive landscapes.

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Development of Deep Learning Techniques for Predicting Dynamic Responses of Local Elements in Complex Structural Systems

In our proposed project, we aim to predict the behavior of large structures like buildings and bridges and key devices upon the large structures in response to natural hazard such as earthquakes. By combining cutting-edge deep learning techniques with the multi-fidelity concept, we’re developing a deep learning model that can predict the response time histories […]

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MedMe Health – New Product Development Internship (Summer 2024)

MedMe Health is pursuing further growth within Canada, especially in Quebec, and prepares for expansion into new markets such as the United States and the United Kingdom. The company’s customer onboarding process is currently cumbersome and manual, which affects scalability and limits customers’ control over account management. They also face the hurdle of language localization […]

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Development of EVERYONE Study Patient and Parent/Guardian Recruitment and Information Materials for diabetes care clinics

Despite significant therapeutic advances, the management of type 1 diabetes remains a major challenge, with current modalities unable to achieve, in every patient, optimal blood glucose control, while minimizing complications. Precision Medicine steers away from this ‘one-size-fits-all’ approach. Precision Medicine aims to understand each child’s health by integrating all the information they share about themselves, […]

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Development of automatic sound-visualized caption across cultural backgrounds

This project aims to benefit society by improving accessibility for viewers who may not be able to receive sound information well from the media content, including DHH viewers. To develop and research for the project, it is necessary to reflect an in-depth and multi-faceted case analysis on the topic of improving sound accessibility. To fulfil […]

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Embedded Philosophy in Near-Living Architecture

The intern will investigate the architectural potential and philosophical merit of Near-Living Architecture, a design that allows environments to be aware and empathetic to their occupants. To do this, the intern will edit and contribute to the upcoming Near-Living Architecture Monograph, a written work describing the vision, execution and future applications of research conducted by […]

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Advance directives at the end of life in people with cancer in palliative care

The proposed project aims to explore the significance of advance directives for people with cancer in palliative care in Medellín, Antioquia. This study is crucial for healthcare professionals and institutions involved in end-of-life care. The findings will provide valuable insights for direct caregivers, training programs in healthcare, administrative decisions in palliative care settings, and the […]

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Research on anisotropic friction of ferroelectric polymer via atomic force microscopy

This project aims to explore the mechanical behaviors of ferroelectric polymers, focusing on P(VDF-TrFE), through atomic force microscopy (AFM) techniques. By investigating the frictional properties of P(VDF-TrFE) and similar materials using AFM-based methods such as transverse shear microscopy (TSM) and friction force microscopy (FFM), the project seeks to uncover the relationship between electrical polarization and […]

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AI-generated Pseudoplanars for Ventilation/Perfusion Scans

The objective of this project is to develop artificial intelligence (AI)-based solutions aimed at denoising ventilation-perfusion (V/Q) planar images for the detection of pulmonary embolism (PE). The denoising algorithm has the potential to solve two major limitations of V/Q scans: long acquisition times and currently insufficient techniques for generating pseudo-planar images from SPECT acquisitions. Our […]

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