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effective? The project is aimed at technical innovations in computational physics and computer vision (sensing, camera calibration, depth estimation, tracking and visualisation) to enable real-time tissue
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research project which aims to advance engineering solutions to mitigate the impact of climate change and focus on developing a cost-effective and eco-friendly method for coastal protection and recovery
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functional beverage prototypes that are suitable for industry-scale beverage manufacturing and evaluate their emulsion stability and estimated shelf-life. Conduct in vitro bioaccessibility and bioavailability
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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to develop a rapid, highly sensitive test for early-stage bladder cancer. The multidisciplinary project involves developing methods to increase the specificity of an optical biosensor to detect bladder
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characteristics Drive to learn new methods and applications Curiosity and creativity in finding problem-related solutions Present and discuss your research with other professionals Engage and contribute
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). Applicants’ methods can draw from fields in the humanities, social sciences, and the arts, including, but not limited to anthropology, art, design, environmental studies, gender studies, geography, history
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on methods, frameworks, and architectures that transform stakeholder information requirements into interoperable semantic models, ontologies, knowledge graphs, and digital twin services. Particular
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and pharmacological screening. Generation of C. elegans models of neurodegenerative disease. Animal transgenesis and microinjection methods. Transcriptomic and genomic analyses. Advanced microscopy and
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods in power grid simulations with HVDC and Wind Farms using PSCAD Undertake management