Marketing Intern

deepND’s talent optimization platform helps hourly employers predict better hiring outcomes and retain their hourly employees longer with specific, individualized recommendations based on people science & artificial intelligence. The Marketing Intern is responsible for developing and executing a multi-channel B2B marketing strategy and building the brand from its current position. These overarching goals will be […]

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Investigation of effectiveness of sewage-based activated carbon (SBAC) for removing poly- and perfluoroalkyl substances (PFASs) from aqueous environmental media

Poly- and perfluoroalkyl substances (PFASs) are groups of contaminants that have received much attention due to their frequent detection in the environment and potential adverse health effect on humans and animals. PFASs can be removed from water using adsorption processes. Adsorbent produced by pyrolysis of sewage sludge (SBAC) offers a promising sustainable solution for removing […]

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Mechanical design and improvement of a Mobile Polygeneration Pyrolysis Plant

Biomass wHh little or no commercial value Is often produced as by-products from sawmills and commercial agricultural activity. The use of this biomass for energy generation can offset the need forfosall fuels thereby contributing to reductions In Green House Gas (GHG) emissions. However for biomass to substitute fuels such as natural gas, It needs to […]

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Tackling the challenge of graph comparison in genomics

This project involves the design and development of a Visual Analytics (VA) tool that will allow analysts to quickly expose relationships and regions of interest in very large data sets that encode complicated graphs and networks. The tool’s development will be guided by frequent interviews with analysts at Aeroinfo/Boeing and the BC Cancer Genome Sciences […]

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Exploring the state of the art deep learning algorithms in computer visionand voice recognition for applications in RF signal processing

Drones popularity has been rapidly increasing for a wide class of applications including commercial delivery, photography, fire-fighting and environmental monitoring due to their low cost and high commercial availability as unmanned aerial vehicles. In the light of this growth, anti-drone technology has become a significant research topic of investigation due to unauthorized flying of drones […]

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CanGo- An Empowering Wayfinding Tool for Persons with Disabilities

For many persons with disabilities, for example those living with cognitive or visual impairments, it is often impossible to drive a personal vehicle and to travel independently, whether to school, to therapy, to their work place or to visit their friends. Because of their challenges, they must rely on caregivers or family members for transport, […]

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Determining Impacts of Harvesting on Clam Beds in the Nanoose Bay Recreational Shellfish Reserve

The Nanoose Economic Development Corporation (NEDC) represents the Nanoose First Nation, who harvest clams from the Nanoose Bay Recreational Shellfish Reserve. Clams are a culturally significant food source for the Indigenous peoples in these traditional lands, and the potential overharvesting of clams in this area may impose irreversible negative effects. By completion of a literature […]

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Greenest City Conversation Project Part One

Greenest City Conversations is an innovative, interdisciplinary and wide-scale research project aimed at developing multiple channels for public engagement on sustainability policies. Its two main goals are (1) to facilitate discussion, solicit and analyze public attitudes and opinions on, and support for, a variety of sustainability policies; and (2) to provide a comprehensive understanding of […]

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Coda Continuous Delivery AI Platform

The Coda Continuous Delivery platform leverages advanced artificial intelligence techniques to accelerate innovation in software development and delivery. The project aims to improve the speed in which a software development team can achieve quality code and reduce the number of issues seen by customers in production. Using a continuously learning platform, Coda catalogues historical issues […]

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A scenario-based modelling framework for projecting COVID-19 infections and deaths

The speed and extent of the COVID-19 pandemic has challenged our abilities, as forecasters, like never before. Early data on the disease’s epidemiology is limited, records of cases and infections are incomplete, and the dynamics and scientific understanding of the disease are changing daily. Scientists from around the world have been quick to respond by […]

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