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Field
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PhD Studentship: Nanopore Technology for Rapid and Accurate Measurement of Antibiotic Concentrations
conditions and characterise the dynamic range and sensitivity of the nanopore sensors Develop multiplexing strategies for simultaneous detection of multiple antibiotic classes Perform proof-of-principle
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UKRI rate). Additional project costs will also be provided. Overview The demands of energy-efficient and high-performance photonic devices have been driven by the quantum revolution. This PhD studentship
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strength-to-weight ratios, making them central to the development of a more sustainable industry. However, under extreme environments and loading conditions (high strain-rate, temperature), these materials
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-efficient and high-performance photonic devices have been driven by the quantum revolution. This PhD studentship aims to develop novel materials and components that facilitate strong light-matter interactions
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) and heat for geothermal projects. Deep crustal fluid flow and the resulting fluid-rock reactions that mobilise heat and metals into the fluids are key to its potential as an economic resource. However
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-flowing Atlantic surface currents – including the Gulf Stream – that lose their heat to the atmosphere in the mid-to-high latitudes, before sinking as cold and saline waters in the Nordic seas. These dense
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PhD Studentship in Aeronautics: How offshore wind farms and clouds interact: Maximising performance with scientific machine learning (AE0078) Start: Between 1 August 2026 and 1 July 2027
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Understanding tyre–road surface contact is critical to achieving desired vehicle performance. Friction is a complex property, unique to each system, and challenging to measure and model. To explore
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
to cutting-edge facilities including High-velocity impact testing, Advanced composite manufacturing labs, X-ray computed tomography and High-performance computing resources for AI model training This project
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from world-class facilities into rich, high-fidelity reconstructions of complex hypersonic flow fields. This new capability will uncover hidden flow drivers and closures for unknown physics, and