Design and optimization of new peroxidase ribozymes based on RNA Mango constructs

DNA and RNA oligonucleotides that fold to form four-stranded structures (G-quadruplexes) are known to bind heme and such complexes to catalyze 1-electron (peroxidase-like) and 2-electron (peroxygenase-like) oxidation reactions. While successful in competing with protein peroxidase enzymes in this respect, G-quadruplex•heme complexes are currently not competitive with protein enzymes with regard to the enantioselectivity of the […]

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A Study of Motor Learning in Children and Adults who Stutter

Stuttering is a speech disorder that not only affects a person’s ability to communicate fluently and confidently, but can also have a significant impact on their quality of life and mental health. Developmental stuttering typically emerges in early childhood; however, 20% of individuals will continue to be affected by this disorder into adulthood. After decades […]

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Viability of Superconducting Resonator Based Detectors

There is an abundance of evidence from astronomical and cosmological observations that suggests approximately 85% of the matter in the universe is dark matter, an unknown form of matter beyond the description of the standard model of particle physics. To date the effects of dark matter have only been observed through its interactions via gravity; […]

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Management System Standards, Management Systems Software, andOrganizational Learnin g & Performance: Making the Connections

The aim of the project is to investigate how organizational learning and periormance can be enhanced, diminished, or not affected at all th rough use of environmental and other management systems standards and related software. The survey research method (questionnaires) will be used for data collection followed by statistical analysis of the data in order […]

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Realization of a Terahertz source optically pumped by pulsed Airy beams

The interest in reliable Terahertz (THz) source has been increasing in the last decade since THz frequencies are recognized to be suitable in several applications spanning from pump-probe experiments to spatial and terrestrial wireless communication. However, for the case of solid-state THz source relying on optical down conversion, two main issues still affect the performance, […]

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Nanoscale toolset for formatting and visualizing single molecules: validating applications and miniaturized flow cells

The “CLiC” microscopy technique was invented and developed by Prof. Sabrina Leslie and her lab at McGill. It is ideal for formatting and visualizing single molecules, like DNA and proteins, with advantages that overcome the limitations of other single-molecule techniques. Due to the increasing interest in the technique from academic and industrial researchers, Prof. Leslie […]

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Synthesis of diamond and diamond-like films

This project is geared towards the development of a cost-effective method to fabricate thin films of carbon materials, such as diamond. The idea is to use solution-based methods coupled to electrochemistry to produce the films. Avenues for the deposition of the film on surfaces of arbitrary shapes will also be explored. Carbon based thin films, […]

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Matériaux carbonés pour les systèmes de stockage électrochimique

Récemment, il a été démontré lors d’une collaboration entre le groupe Claverie et Hydro-Québec que les membranes à base de carbone graphitique pouvaient être utilisées comme des interrupteurs pour le passage du lithium de l’anode à la cathode. Le présent projet est une exploration plus générale de ce travail préliminaire, pour diverses configurations de systèmes […]

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Identification and characterization of new antimicrobial chemical series

Antibiotic resistance represents a major health problem for society. With the expanded use of antibiotics, microorganisms have developed various mechanisms of resistance to overcome the effects of once highly effective agents. There is therefore an urgent need to identify new therapies to counteract resistant strains. The intern will design and identify new drugs that are […]

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Photonic Quantum Computing for Machine Learning

In the recent years, the advances of machine learning, and more precisely deep learning, have lead to incredible progress in areas such as computer vision, speech recognition and natural language processing. Training algorithms based on deep neural networks can take a huge amount of time and computing resources. The first generation of quantum computers currently […]

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