I will be helping PredictNow.ai grow thier business by working in a marketing/sales role. As recently formed startup PredictNow.ai is still in the process of establishing thier digital footprint from a marketing perpective, which I will help grow. Additionally I will help answer customer questions and help communicate the technical end of the product to […]

This project is based upon an applied research approach and using a business analytics lens, it seeks to understand the state of the municipal sector to date in Newfoundland and Labrador with respect to regional service and resource sharing. It focuses on regionalization and identifies the current and best practice models for regionalization and regional […]

NTWIST currently has a few AI based products that can help industrial clients to enhance process stability, profitability, and trouble shooting capabilities. It has also designed tools that can carry out scenario analysis & act as a training tool for operators, technical staff, and management. NTWIST is looking to market the existing products to new […]

Interns will work with beef and crop producers to collect farm-level production data and provide basic training on the Cool Farm Tool sustainability calculator. The collected data will be used to calculate the farm’s relative sustainability metrics, such as greenhouse gas emissions and water usage. The partner organizations (TrustBIX and Viresco) will benefit from the […]

Le projet de recherche consiste à développer une méthodologie pour identifier les métriques adéquates permettant de comparer les performances de différentes approches de détection d’anomalie en fonction d’un contexte donné et d’en implémenter une preuve de concept adaptée au problème de surveillance des groupes turbine-alternateur chez Hydro-Québec. Lorsque les données pour définir explicitement des classes […]

We propose to continue with our novel approach to high-efficiency nucleic acids extraction from bacteria. Once complete, DNA Genotek Kits are expected to: be relatively simple to use; be applicable to high-throughput environments; release DNA efficiently from a variety of microorganisms; stabilize the profile of the sample species by (i) stabilizing the released DNA at […]

We continue to build our capacity but at a slower rate to ensure that we survive the slowdown that the pandemic has created. We have focused on internal projects but are now returning to client projects as the market picks up. The Intern will research markets to understand evolving customer needs, market size, trends, and […]

The COVID-19 pandemic is caused by SARS-CoV2 coronavirus. This virus which infect cells that are vital in human organs leading to multiple diseases in need of timely medical treatment. There is a great need in search of inhibitors to block such viral infections as a means for disease prevention and/or treatment. Cannabinoids, such as cannabidiol […]

Value-Based Healthcare (VBHC) is becoming a leading approach to improving patient and health system outcomes around the world. This research is to develop a new problem oriented record for the VBHC where it can analyze the Patient Progression which is the hospitalized patient journey through the required care events, actions and processes to achieve a […]

In the era of COVID 19, businesses survive as long as they reinvent themselves, and change their operating model considering new technologies such as Artificial Intelligence, Machine Learning, Cloud, and Blockchain. Synanos is the first North American startup converting petroleum waste to advanced hydrocarbons. With this internship opportunity, we will expand our industry research and […]

The advantages of cloud computing have been mainly used from a service perspective. It offers virtually unlimited resources in CPU, memory and bandwidth, under a service agreement scheme, in order to use those resources to provide a service. Operators leverage on this model to achieve economies of scale, by hosting as much customers as possible […]

Recent tailings dam failures occurring in past years have highlighted a need for innovative approaches to monitoring these structures. This research proposes to explore advances in the development of a novel type of distributed fiber-optic sensing technology known as Distributed Acoustic Sensing (DAS), and evaluate its performance in monitoring a tailings dam. Ambient noise interferometry […]