The overall objective of the project is to work with the corporate development team on building out a 6 and 12-month top-line growth strategy for Peak Power. This will be carried out through deep analysis of REITs across North America, performing market sizing estimations, and building out an account management plan for the sales team […]

Environmental quality criteria (EQCs) for soils are not designed to protect ecosystems from multiple contaminants that co-occur. EQCs are overwhelmingly based on dose-response studies of single contaminants, and lack mechanisms for scaling EQCs to accurately predict metal mixtures toxicity. The inability to predict risk for metal mixtures in soils at Canada’s many current and legacy […]

Evenset requires help from an MBA student to help us define the market fit and commercialization path for our new product called Tali.ai. Tali is an information retrieval chatbot from medical free-text. This position involves doing market research on a few verticals to map out the market size, unit economy analysis and identifying the decision […]

The student is currently performing a study in Canada investigating the usability of thermostat interfaces with a focus on the differences between old and new devices. Working abroad enables the comparison of Canadian findings with German buildings/climate/interfaces. The student will work with the Fraunhofer Institute to develop state of the art approaches for the use […]

The objective of this research is to create a data architecture and a state-of-the-art machine learning algorithms to build a robust user-profile system that (i) extracts, stores, builds, and analyses synchronously up to 1 million user profiles generating at least 50 behavioral data (alpha-numeric value of 64 bytes) per second, (ii) provides over 5 millions […]

Risk aggregation is omnipresent in insurance applications. A recent example, borrowed from the modern regulatory accords, is the determination of the aggregate economic capital and its consequent allocation to risk drivers. A more traditional illustration of the importance of risk aggregation in insurance is the celebrated collective risk theory that dates back to the early […]

Depression is a common and dangerous mental disorder. Depression can develop during puberty after repeat exposure to stress. In our past studies, we found that both male and female pubertal mice will show depressive behaviour after experiencing repeated sleep disruptions. Interestingly, there is a substance called lactate that is produced in humans and mice that […]

As Hyivy Health heads into 2021 with multiple strategic initatives, we have been seeking oversight in strategy discussions in all areas of marketing, content and market access discussions. We are developing content for our brand tone of voice, building community and digital marketing strategy, we are crafting messaging and positioning based on competition and market […]

The Limits of Solidarity is an original transmedia research/creation project for new screens, creatively and critically investigating various practices and projects of global solidarity that engage with issues of gender and sexuality. Using imaginative hybrids of fictive, experimental and documentary forms (in the expanded essay tradition of such artists as Farocki, Biemann, Fung) and in […]

As a Sales & Marketing associate I will be responsible for the following: • Work with CSO to create marketing white papers and presentation • Help and support the sales team with presentation and document preparation • Keeping the CRM up to date • Keeping an active online presence on LinkedIn • Support existing customers […]

Kings Distributed Systems (“Kings”) is a Canadian corporation with the mission to make computing more affordable, secure, and interoperable. Its core offering is a software platform that makes running modern applications cheap and easy through a global ‘marketplace’ for computing resources. One of Kings’ most important target markets is the academic and higher education space, […]

Machine learning has revolutionized a variety of fields in the past decade, due to increasing availability of data and processing power. Engineering simulations of most industrially relevant fluid flows (e.g aircraft design and turbomachinery) require modelling of turbulent fluctuations in the flow. For the turbulence modelling community, which has seen widespread stagnation, machine learning offers […]