Interfacial rheology of multispecies biofilms

One of the major challenges facing the 21st century is the antibacterial fight. Traditional methods such as antibiotics are ineffective in many cases of chronic infections or food contaminations. One of the reasons for this phenomenon is the formation of biofilms where bacteria are protected from the environment by a protective barrier made of polymers. […]

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Techno economic assessment of state-of-art innovative fast pyrolysis solutions in bio-economy processes

The present project will evaluate the techno-economic and environmental performance of an Integrated Biorefinery System that employs an innovative state-of-art fast pyrolysis processes for the production of bio renewable fuels in the bio-economy. A systematic design methodology will be defined using state-of-the-art process systems engineering tools which include market analysis, techno-economic assessment, cost accounting, energy […]

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Investigation of the potential of static liquefaction of tailings by taking into account the evolution of the hydro-geotechnical properties during and after their deposition

Mines generate large quantity of tailings. In most cases, they are transported by pipes and deposited in tailings ponds and confined by dams. To limit the footprint and land area of tailings pond, the dams have to be uplifted progressively with the increase in the tailings level. Several methods exist to uplift the tailings dams. […]

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Investigation of the potential of static liquefaction of tailings by taking into account the evolution of the hydro-geotechnical properties during and after their deposition – Year two

Mines generate large quantity of tailings. In most cases, they are transported by pipes and deposited in tailings ponds and confined by dams. To limit the footprint and land area of tailings pond, the dams have to be uplifted progressively with the increase in the tailings level. Several methods exist to uplift the tailings dams. […]

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Improving energy system planning solutions by accounting for inherent uncertainties through robust optimization

More and more distributed energy resources (smart loads, self-generation, electric vehicles, etc.) are installed directly at the customers. This causes fluctuations in the distribution network that can reverse the power flow or increase the cold pick-up effect. The infrastructures in place have not been designed for this new reality and they must be adapted accordingly, […]

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Improving energy system planning solutions by accounting for inherent uncertainties through robust optimization – Year two

More and more distributed energy resources (smart loads, self-generation, electric vehicles, etc.) are installed directly at the customers. This causes fluctuations in the distribution network that can reverse the power flow or increase the cold pick-up effect. The infrastructures in place have not been designed for this new reality and they must be adapted accordingly, […]

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Extraction de vocabulaire structure pour I’etablissement d’une politique deretention et de controle de courriels

Le projet consiste :!l extraire, a partir d’un Ires grand vOlume de courriels, un vocabulaire structure qui pourra etre mis a profit pour I’elaboration d’une politique de retention et de controle. Plus precisement, des methodes seron! developpees pour I’extraction d’un ensemble de termes pertinents puis, dans un deuxieme temps, I’ensemble des relations pertinentes dans lesquelles […]

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Development of novel hydrogel/metal nanoparticles catalytic monoliths via a green hydrothermal process: towards the synthesis of high added value fine chemicals in continuous-flow conditions.

The proposed research project falls within what is called process intensification (PI). PI consists in novel devices and techniques that bring striking changes to chemical engineering processes by significantly decreasing the equipment’s size to production ratio, energy consumption and waste production, which result in smaller, cheaper, cleaner and more efficient technologies. Catalytic nanoparticles, with a […]

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Efficient implementation of compact deep neural networks for mobile applications

Computer vision has become part of our daily life with applications in surveillance cameras, medical imaging, self-driving cars, and so on. Recently, deep convolutional neural networks (CNNs) have shown substantial progress in many vision applications such as image recognition and object detection. Utilizing CNNs from 2012 have reduced the error of image recognition dramatically which […]

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Performance et optimisation de coagulants inorganiques préhydrolysés pour la production d’eau potable

Le projet vise à optimiser une filière de traitement fréquemment utilisée par les villes lors du traitement des eaux potables: la coagulation. Cette étape est essentielle à l’enlèvement de plusieurs contaminants organiques et inorganiques d’intérêt de santé publique. Kemira, le partenaire, bénéficiera de l’expertise du stagiaire et du superviseur en ce qui a trait à […]

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