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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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due to a lack of resource. With some water-hungry sectors (such as data centres and other high-tech industries) prioritised for significant growth in water stressed regions, these challenges are set to
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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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to enhance performance & longevity; and interplay between degradation modes. Characterization methods will include bespoke microscopy facilities, in-house and Synchrotron & neutron operando studies, and
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diverse settings, including high street and independent practices, hospital eye departments, laser clinics, domiciliary services, and others. They will conduct qualitative interviews with eyecare and
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. Research themes would be flexible including green steel formability under the EPSRC ADAP‑EAF programme for automotive and packaging applications; or micromechanical studies of aluminium precipitate evolution
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on TEs has accelerated with long-read sequencing and the exponential release of high-quality genomes, allowing comparisons at genome-wide level across the Tree of Life. In this project and by focusing
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sustainable, high-performance ingredients, often using bio-based raw materials. Funding will include tuition fees paid directly to University of East Anglia, an annual tax-free stipend to support living
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short duration intense heat spikes. This will require the incorporation of nonlinear temperature dependence, creep and relaxation simulation capabilities. Supervisors: Professor Matthew Santer, Dr. Paul
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is to handle the increasing uncertainty associated with high renewable penetration in a more systematic and effective way. Strategies will revolve around the application and extension of algorithms