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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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Tomography (ToF-PET) offers vital functional and molecular insights for improved cancer staging, its current capabilities are often limited by the timing resolution and sensitivity of existing detector
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disease (Potts et al., 2016; Rundlöf et al., 2015). This decline poses a substantial threat to ecosystem resilience and agricultural productivity. Despite their ecological and economic importance, current
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is increasingly planned, managed, and engineered. New research is needed to understand how such areas, and particularly their dynamic nature, influence perceptions and decision-making. The studentship
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degree or equivalent in a related discipline. This project would suit individuals with academic or industrial experience in electronics, electrical engineering, systems engineering, or AI/data analytics
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opportunities for high-impact dissemination at premier conferences (e.g., IEEE S&P, USENIX Security, NeurIPS). Furthermore, Cranfield’s strong industry links provide a direct pathway for technology transfer and
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year. Working at the intersection of water engineering, environmental microbiology, robotics, and lifecycle analysis, you will evaluate autonomous underwater skimming robots that minimise energy use in
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solutions that extend the operational life of devices and reduce environmental impact, applicable to areas like smart grids, electric vehicles, and portable electronics. Research Focus Areas: Power-Aware
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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energy efficiency. Surface treatments and engineered coatings will be explored to improve inter-material interfaces, reduce optical losses, and enhance detector robustness, critical factors to advance