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 […]

Valider les construits d’une application permettant de mesurer le bien-être des individus au sein de leur organisation ou de leur communauté.

Nouvelle technologie pour la prevention d’accidents de travail pour ameliorer la sante et la securite des employes au sein des usines. Utilisation de la gamification pour la formation des mesures preventives de sante et securite au travail permettant d’offrir des contenus interactifs et ecologiques (immersifs). Cette plateforme permet la mise en pratique des nouvelles procedures […]

Optimiser les processus de gestion électronique des ressources humaines (e-GRH) à l’ère du numérique et de l’intelligence artificielle en mettant l’accent sur les compétences du 21e siècle pour maximiser les performances humaines et organisationnelles. Avec la crise pandémique et l’ère post-COVID, un défi de transformation numérique et d’innovation s’impose pour la e-GRH : Concevoir une […]

L’exploitation de drone pour l’aquisition de données hyperspectrales présente un fort potentiel comptetenu des coûts très importants et de la faible disponibilité des solutions aéroportées actuelles. Mais il y a peu d’études adressant l’usage de drone avec des capteurs hyperspectraux. Ceci constitue l’objet du présent projet qui vise à faire progresser les connaissances relatives à […]

Consilium Crypto is a big data analytics company that provides quantitative and qualitative insights to market participants in the digital asset space and capital markets. Consilium is currently growing in both number of product offerings and headcount. The company is in need of robust set of financial models and projection techniques to drive sound investment […]

The intern, with the mentorship of several Corepoint team members and consultants, will be tasked with developing a new marketing plan and framework for the COVID world. This will include: -competitive analysis in a rapidly evolving market -assessment of current organizational assets and messages -current customer segment analysis -new customer prospect list within key Canadian […]

As we are a smaller and nimble company, we have been able to drive home the importance of moving to digital infrastructure. Discussions with clients have been very positive in this regard. There are structural changes in mentality and operations occurring which our organization benefits greatly from. We are looking to drive adoption on multiple […]

Mushrooms represent a source of diverse medicinal compounds that have been exploited for centuries. Beneficial compounds have proven efficacy against disease, including anti-fungal, anti-viral, anti-tumoral, anti-bacterial traits. These compounds, along with potential for new discoveries, drive the exploration of mushrooms as a powerful medicinal source and supports their application in the health sector to discover […]

The intern will undertake the development and evaluation of a novel gene-edited immune cell therapy for the treatment of different cancer types. The cancer immune cell therapy is a hot and rapidly growing field that has yielded success and clinically meaningful benefits for the treatment of certain cancers. Many of these successes have been with […]

Grand Lac St. Francois (GLSF) is a large lake in southern Quebec with a high diversity of fish species. There are several existing and emerging anthropogenic pressures at GLSF. One of the pressures of greatest concern is how the large and variable winter water level drawdown (due to operation of the Jules-Allard dam) influences the […]

The inference of causal relationships is a problem of fundamental interest in science. Compared to models that rely on mere correlations, causal models allow us to anticipate the effect of a change in a system. Such causal models have applications ranging from government policy making to personalized medicine. However, learning causal models from data is […]