In recent years, with the emergence of online social networks and the growing interest in genetics and biological networks, the research community has been tasked with analyzing knowledge extracted from multi-relational datasets. Such analysis, generally known as Knowledge Discovery in Databases (KDD), is concerned with the computer aided discovery of useful knowledge in databases. An […]

This research project proposes to identify and develop successful ways of engaging Arctic voices and community with the Arctic Research Foundation’s (ARF) digital communications platforms. The platforms will promote community understanding of ARF’s mission and may inform the Foundation of potential sites of intervention and innovation. The intern will cultivate community relations while seeking new […]

This innovative product is unique as it would enclose all business functions into one Customer Relationship Management (CRM) system, enabling companies to use NetSuite for their one stop shop as a 360 system. It will allow integration of an accounting system with the ATS, a functionality not available with the other systems. The intern’s primary […]

Ce projet vise à évaluer la présence des potagers dans une ville en région nordique et dans un contexte minier. L’objectif est de déterminer, en collaboration avec des citoyens et citoyennes la productivité de leur potager, les niveaux de contamination dans les sols et dans les légumes, afin d’évaluer le niveau du risque sanitaire à […]

Reliability analysis of structures is crucial to ensure efficient operations in industrial assets. Nowadays, industries benefit from condition monitoring (CM) equipment to evaluate their products’ health. Current commercial reliability software can not accurately analyze the reliability of structures under time-varying conditions. The intern has previously developed an algorithm for accurate reliability analysis of different structures. […]

The airspace will rapidly change in the next 15 years with increased automation of air traffic control, flight path tracking with strong time constraints and big data exchange between the aircraft and ground control for communication. However, little information is available to understand the impact of this transformation on the pilot’s tasks and how to […]

Some may think that it is only members of underrepresented and marginalized groups who experience identity threat in an organization. However, members of traditionally well-represented groups can feel threatened by diversity, equity, and justice (DEI) initiatives, and this can result to backlash which could derail those efforts. Through a collaboration with Feminuity, a consulting firm […]

The chosen candidate will be working directly with Mr. Leslie, MECC’s principal, with respect to the various services MECC offers. They will help expedite the completion of MECC’s short-term and long-term objectives through a variety of responsibilities, and will have the opportunity to work in a fast paced and engaging environment. The candidate must conduct […]

Modelis is a drug discovery platform company focused solely on rare, genetic diseases. Our unique approach combines genetically-engineered worms which are ‘avatars’ of human patients, with high-throughput drug screening. This results in a dramatically accelerated drug discovery process. Our platform is perfectly suited for genes that are evolutionarily and functionally conserved such as FIG4, and […]

What does Kmb look like in the social sciences and humanities? Processes that lead to impact start with the creation of new knowledge (output) meant to transform approaches and attitudes, build competency and/or new types of relationships (outcomes). (See e.g., Bailey & Phipps 2019 and Phipps et al. 2016). These changes, in turn, may lead […]

Designing new anticancer agents using structure based drug design and the 3D structure of the biological target is becoming an increasingly important field of study. The main objective of this project is to develop and identify anticancer drug candidate(s) for advanced preclinical testing, with the end goal of identifying drug candidates suitable for clinical trials […]

In quantum key distribution (QKD), the twin-field has been proposed as a means to overcome the linear key rate bound, and hence the key generation rate, as well as to enable repeaterless QKD transmission. Despite significant progress in TF-QKD and its variations in recent times, the key rates are still significantly low compared to practical […]