Geology, mineralogy, lithogeochemistry, and genesis of mineralization in the Silurian Whisker Valley Cu-Au system, Newfoundland Appalachians

This project is focused on understanding the relationships between copper, gold, and other critical metals in central Newfoundland and their relationships of ore forming fluids to magmatism, faulting and ancient volcanic activity. The work will involve three MSc-level interns that will undertake fieldwork, laboratory work and computer modeling (i.e., machine learning) while being embedded with […]

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Venture Studio Fellowship

This role is a critical and multi-faceted position. The intern will be an active contributor to the venture-building and studio asset allocation process. At the heart of FutureSight is a four-phase venture lifecycle – which systematically moves opportunities through ideation, validation, formation, and growth stages. New ideas are rigorously screened, market-tested, and validated before a […]

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Active Search In the Wild

Having robots be able to conduct visual searching of objects in their environment is an important step towards building intelligent robotic assistants. Automatic object searching is a useful tool for social, service, and search and rescue robots; such robots would be required to reason about likely locations of an object specified by a user. However, […]

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Health Behavior and Population Health in the Era of Climate Change

Climate change is closely tied with human behaviors and health. With continuous industrialization and technological advances, modern people are living unimaginable prosperous lives. However, their increased greed leads to enormous environmental destruction, such as the indiscriminate consumption of air conditioners and disposable products, and short-distance driving. Air pollution has a bilateral relationship with climate change, […]

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Brooklin Consulting Internship

The objective of the business strategy internship program is to improve the existing front end processes and systems at Brooklin Consulting. The intern will be responsible for improving the existing CRM system’s data integrity, and documenting best practices. They will be responsible for creating updated customer profiles for Brooklin’s many business segments and supporting the […]

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Predicting Equipment Failure in Canadian Mines

In order to reach the production targets, mining operations typically need to operate without a stop. Equipment maintenance planning plays an important role in ensuring the required number of mining haul trucks are available at any given time. If not planned correctly, corrective maintenance would be required, which could slow down or halt the production […]

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Federated Learning (FL) Interoperability, Access and Latency Optimization on The Edge and Cloud

As the underlying networks transition into 5G and 6G infrastructure, the optimal task performance across different WIoT devices with different energy consumption and computing power require coordination at both the software and hardware levels to maximize accessibility and minimize latency to support emerging applications. The proposed research will explore the various parameter space to determine […]

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PandoPartner Summer Internship

To develop improved User Experience and Analytics infrastructure for PandoPartner – a new sponsor tech platform that serves Canada’s sports, entertainment, culture, and cause sectors. Optimizing user experience by utilizing qualitative and quantitative research to inform the development of user guide and product design improvements. Implementing the tracking and oversight of analytics across marketing, sales, […]

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Sequent AI: Finance and Technology Strategy

Sequent AI is a technology focused consolidation. Sequent AI is acquiring and consolidating technology companies in the operational technology (OT) and information technology (IT) spaces. Through this approach Sequent AI aims to bridge the gap between OT and IT spaces by enabling OT environments with IT infrastructure. This project will help to advance Sequent AI’s […]

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TimeSerStats

The project aims to help standardize the analysis of time series data by creating an analysis and reporting framework by which time series data regardless of its size, frequency, and/or source can be normalized, analyzed, and reported.

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