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parcel delivery and environmental sensing. Equipped with diverse onboard sensors, including cameras and GPS, delivery UAVs hold significant potential for urban sensing applications such as infrastructure
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, and AI-driven sensing, this PhD offers a rare opportunity to develop in-demand skills in advanced mobile robotics, intelligent automation, data fusion, artificial intelligence (AI), precision metrology
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complex mixture of physical inputs. There is therefore an urgent need to decouple these influences and develop laboratory-reproducible ocean optics, enabling scalable, interpretable, and repeatable sensing
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early risk identification. This PhD project aims to design and develop personalised 3D-printed insoles with enhanced offloading performance and integrated sensing capability. The work will explore novel
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
for small-molecule sensing. By engineering nanopores with molecular recognition elements such as DNA aptamers, this project will enable multiplexed, real-time detection of diverse antibiotics, supporting both
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- through their instrument to help themselves and others make sense of the world. However, the work is not about turning everyone into an AI-fuelled artist, dancer or musician. Quite the contrary, we will
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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to collaboratively work with computational scientists and surgeons exploring novel ways to transform research and practice in surgical care. Please feel free to contact the main supervisor informally with your CV and
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Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
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worldwide. Research methodology The researcher will combine existing landslide inventories with new remote sensing observations to build multi-year databases of landslide occurrences and control factors (i.e