R&D Software Developer

The purpose of this project is to leverage Open AI fine-tuned models to enhance the speed in which consulting firms can respond to government issued RFPs. The benefit to the partner organization is enhanced speed and ability to match requirements with consultants.

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Optimal Coverage and Path Planning of Indoor Service Robots

The proposed project will study some essential tasks regarding motion planning of autonomous indoor service robots, focusing particularly on reliable coverage-planning of arbitrary and irregular-shaped indoor regions. The tools to be used in devising solutions for these problems include geometric and graph theoretical optimal path planning algorithms, various sensor data fusion techniques, and artificial intelligence […]

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Building Mindset and Partnerships for Innovation in Canada: Business Strategy Internships with the Cansbridge Fellowship

This project enables interns to enable Market Innovation in Canada, related to their field of study or industry of interest. This will contribute significantly to the Cansbridge Fellowship’s mission of empowering entrepreneurially-minded students and promoting innovation in Canada. Under the guidance of the academic supervisor, the intern will focus on identifying innovative organizations for potential […]

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Max Planck Institute for the Structure and Dynamics of Matter – Ultrafast Electron Diffraction Experiments and Software for Experimental Control

Ultrafast electron diffraction (UED) is an established tool to record atomic motion on very short timescales well below one picosecond. The sample, typically less than 100 nanometers thick, is first excited with an optical pump-pulse leading to the rearrangement of its atomic or molecular constituents. Subsequently, the structural changes are probed by a short electron […]

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Laser Annealing is Full-Scale Electron Detectors

The primary objective of the Globalink research project is to develop and implement advanced techniques for the detection of energetic electrons in silicon detectors, with a focus on overcoming the limitations of traditional detection methods and mitigating radiation damage. We will try to investigate whether laser annealing and pixel migration techniques can effectively mitigate radiation […]

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Quantum super-resolving lenses

Super-resolving lenses are able to beat the standard diffraction limit in optics and image objects smaller that the wavelength of light. Such devices are already important in areas such as the bio-medical sciences, and but could also find application in the emerging field of quantum technology by providing a way of coupling qubits with high […]

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Detecting atopic dermatitis with impedance measurements

This research improves atopic dermatitis (AD) detection, a common type of eczema, which affects about 20% of Canadians. AD causes dry and inflamed skin due to a lack of a key protein, making the skin barrier less effective against moisture loss and allergens. Current treatments like moisturizers and steroids can have side effects, and diagnosing […]

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Building Trust in AI-Generated Content: Innovative Strategies for Quality and Integrity Verification

In an era where AI can write articles, create reports, and even craft stories, ensuring this content is accurate, free from errors, and trustworthy is crucial. Our project, “Building Trust in AI-Generated Content: Innovative Strategies for Quality and Integrity Verification,” aims to tackle this important challenge and to measure and increase the reliability and trustworthiness […]

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2D material band-gap prediction by machine learning

Two-dimensional (2D) semiconductor materials are materials with thickness on the atomic scale that provide unique properties compared to their 3D counterparts. One important property of semiconductors is their band gap, which dictates how the semiconductor material will behave. However, manufacturing and testing 2D semiconductors can be costly and difficult, so the ability to predict the […]

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