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technologies. In recent years, such technologies have become a lived reality for many households and are seen as a critical intervention in the pathway to Net Zero. The project is positioned within research in
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gas turbine sensor data, if available, will be utilized to validate the developed digital twin in order to estimate non-measurable health parameters of major gas path components, including compressors
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different purposes. For example, the sonar system on a bat performs well for the detection task when hunting but is also lightweight and suitable for flight. The PhD will study mobile sensor systems found in
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raise significant safety concerns due to the surgical procedures required. Conversely, non-invasive BMIs, which use external sensors such as MEG, EEG or fMRI, offer a safer and more accessible approach
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the performance of novel, renewable, wave energy harvesting approaches. Here the research ambition is to extend the state of art from small scale sensor networks (nW’s to mW’s), towards a vehicular scale (W’s to
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. Technology is changing the way we work across many spheres, including the agricultural industry. For example, sensor technologies employed in farming (like virtual fencing and GPS animal tracking) claim
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use including increasing urbanisation are driving factors in biodiversity decline worldwide. While digital technologies are changing our cities through networked sensing, AI and cloud computing in what
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the effectiveness of mitigation strategies aimed at achieving net-zero targets. This project focuses on the accurate and representative monitoring of GHGs in farmland, water, and forest environments, which are major