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Project summary: A transition to net zero is desirable overall, but its costs and benefits are unevenly distributed across time, space, and between individuals, and policy to implement it must be
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debris (Kessler's Syndrome). To manage this, global sensor networks monitor our space environment in both optical and radio regimes. This research project will contribute to advancing space situational
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performance of industrial systems (up to 100 MW+). You will receive specialist training through the Engineering Hydrogen Net Zero CDT and be based at Loughborough University. Primary supervisor Sonya Calnan is
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applicant is anticipated to have detail-oriented research insight and exceptional record-keeping working habits. They will have strong organisational and communication skills and excellent problem-solving
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properties in a few compositional series of network glasses, from which key compositions to study in the molten state will be selected. Improved understanding of melt structure will have a major impact on
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will involve setting up and piloting an interventional clinical trial at Nottingham University Hospitals NHS Trust. Adults discharged following a hospitalisation episode for community acquired pneumonia
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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access to state-of-the-art facilities and a network of professionals in the field. The expected impact of this research will be the development of valuable insights into how advanced technologies can be
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academic community. Further details can be found in the below linked further particulars alongside the person specification, with the complete essential and desirable criteria. The post holder should be