Extreme cold temperatures caused by disrupted polar vortexes subject beef cattle to a stressful environment, leading to a diversion of energy from cattle growth or fertility to thermoregulatory mechanisms that increase heat production. We hypothesize that simultaneous selection of both heat and cold tolerance could be possible, which might be essential for the volatile effects […]

I will be studying chromosomal inversions in cod. A chromosomal inversion is a segment of the genome that is flipped. A key feature of inversions is that they rarely undergo recombination which causes them to evolve separately. Recombination is the point in cell division when genetic material mixes between two chromosomes to create new combinations […]

The current treatment for blood clots involves administering medications that increase the risk of excessive bleeding. Surgical intervention can be used, however, complex bends in the blood vessels can make it difficult to reach the clot site. Current treatments are not always successful, particularly in hard-to-reach areas such as below the knee. Miniature robots offer […]

This project aims to explore and improve a special type of bio-based material called dialcohol nanocelluloses, which is made from cellulose. By working with experts at Université de Grenoble Alpes and using their advanced equipment, the research will help us understand how these materials are structured and how they behave. This knowledge is important because […]

Le projet vise à faire un bilan énergétique des procédés d’extraction et séchage du tanin, un biopolymère dérivé de l’écorce d’arbres, reconnu pour ses propriétés physicochimiques et son potentiel de substitution aux matériaux pétroliers. Dans le contexte des enjeux environnementaux et économiques associés à l’utilisation de ressources fossiles, le tanin émerge comme une alternative durable, […]

This project aims to research and develop on building a real-time deepfake audio detection system that is capable of distinguishing between authentic and spoofed audio voices with the help of Quantum Machine Learning (QML). The primary goal is to identify the limitations of existing classical ML techniques and explore how QML can improve the different […]

Realistic data generation has become a hot topic in health research, especially to determine optimal randomized clinical trial design. A growing field of research is “virtual” trials, which are trials conducted through computer simulations to generate synthetic data such that the generated distribution mimics the original data distribution without simply copying the original observations. Especially […]

The maxillectomy is a surgical procedure, involving the removal of parts of the maxillary bone due to either congenital defects, traumatic conditions, or osteogenic and non-osteogenic tumors. The current gold standard of treatment involves the auto-grafting of bone from a second surgical site such as the fibula, into the maxilla; a practice that increases the […]

As an epistemic phenomenon and mental health concern, Imposter syndrome (IS) can affect how individuals believe and see themselves as epistemic peers in an epistemic environment. The online environment, particularly social media, can be an epistemic environment that could provide useful insight into understanding and dealing with imposter syndrome. So far, what has been theorised […]

In the Climate Resilience Cattle project, we are combining the Red Angus, Senepol, Galloway, and Scottish Higland Bos taurus breeds with the objective of producing a novel synthetic breed called the Climate Master Composite. Thermally equipped drones will be autonomously flown to each individual animal using the GPS coordinates supplied by Virtual Fencing collars placed […]

The proposed research project aims to improve the stability of electrical grids, which are increasingly powered by renewable energy sources such as solar and wind, by developing a Virtual Synchronous Generator (VSG). This virtual generator would allow grids with low natural inertia, due to the presence of power electronics (e.g., inverters), to better respond to […]

This project aims to improve the transparency and trustworthiness of AI systems in healthcare by using quantum-inspired agent-based modeling (ABM). By combining this with AI-based medical forecasting, the project will help create more reliable and ethical AI models that can handle complex medical data. The participating institutions will benefit by advancing their expertise in AI […]