Implement a squad based behavior in a chaotic environment.

We are developing a P2P/AI marketplace, and we’ll integrate a matching process to let roommates match between them, or hosts to find the ideal tenant, based on different criteria, like lifestyle, interests, backgrounds, university, neighbourhood, space / time, reviews, market predictions, etc. The candidate will do research development and will apply knowledge of advanced analytic […]

This research project is focused on data analytics for our Australian clients. One, focused on the data aggregation and exploration analytics for the State of Queensland, the other for the State of Western Australia. The interns will be working with cutting-edge machine learning and NLP approaches. This project will help increase the quality and speed […]

The COVID-19 pandemic has highlighted the public need for molecular diagnostic tools to identify pathogen panels through nucleic acid amplification tests (NAAT). Many clinical labs worldwide have now established infrastructures for routine molecular assays using classic quantitative PCR (qPCR). In order to further advance this – now routine – tool for in vitro diagnostics (IVD), […]

The customer acquisition strategy for an organization is most effective if informed by insights into which customers would provide the most value, how much it would cost to acquire those customers, and what is the probability of success for acquiring a particular customer. While it is not tractable to do such analysis at the individual […]

Mycotoxins are acutely toxic compounds produced by fungi when they infect food crops such as grains and cereals but can also be found in cannabis flower and products. These compounds are known to cause cancer and kidney failure when ingested and are therefore closely regulated by Health Canada. There are 4 main mycotoxins that are […]

Development and execution of a robust marketing strategy for Clavis’ B2B platform.

The process of identifying the object in an image, and the object background is accomplished by the human brain instantly. We develop such skills with experience, and often take it for granted. In digital imaging and computer vision, the same operation called image segmentation is a bottleneck of quantitative analysis. In particular, automated image segmentation […]

Increasing worldwide energy demand has sparked research interests towards the direct transformation of low-cost light hydrocarbons like natural gas into valuable liquid fuels or chemicals. Conventional thermo-catalytic approaches to achieve these reactions require high reaction temperatures (> 673 K), resulting in less desired products formation with severe coke. Non-thermal plasma (NTP) technology offers an attractive […]

The project has the following objectives: 1. To build a simulation for a generic social model, to represent how effective a toxic text sentiment detection algorithm/model works within simulation a. Building a simulation model b. Testing the performance of the model using a dataset c. Evaluation of the model 2. Optimizing existing toxic text detection […]

Mining is important to the Canadian economy, contributing an estimated $43.9 billion in 2020 while addressing growing demand for minerals. Mine operations disturb natural environments, and Canadian federal and provincial authorities have instituted the Mines Act, and the Health, Safety and Reclamation Code for Mines in British Columbia, providing a regulatory framework for mine closure […]

The proposed project aims at developing novel algorithms for the 5G Core Network Placement to meet Key Performance Indicators (KPIs). The ultimate goal is to minimize the number of virtual network functions in 5G packet core while meeting the latency requirements. Thus, this project aims to address the trade-off between latency and operational costs in […]