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stability as system strength continues to decline. Building on existing frameworks such as the WECC Composite Load Model (CLM), you will develop and validate data-driven methods for load identification and
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intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
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mucosa. Objectives include: 1. Training generative models to produce realistic, high-resolution microscopy images. 2. Ensuring no synthetic image is identical to real patient data. 3. Evaluating image
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on one of the AHRC’s primary research areas. Key Deadlines Expressions of Interest open on 1 October 2025. The link to complete the online Expression of Interest Form for the DLAs at BCU can be found
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better representation of human alterations to river systems. For further information on the project, we will be hosting a ‘Prospective applicant webinar’ at 2:00pm on the 26th of November. Link
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. Increasing evidence suggests that chemo- and immunotherapies can alter the gut microbiome, which is closely linked to immune regulation. Both innate and adaptive immune responses can be shaped by changes in
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science, or remote sensing. You’ll be part of a collaborative research environment with links to national agencies and research groups such as the British Geological Survey, Environment Agency and Newcastle
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signals from the star itself. Especially in radial velocity data, essential to measure a planet's mass, these signals are often larger than the planet signals. With Dr Annelies Mortier, projects
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NASA, Airbus, and Rolls-Royce – to develop cutting-edge, data-enhanced numerical methods that will transform how future aircraft are conceived and certified. You will work within the PinhoLab (led by
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economics, the economics of crime, development economics, public economics, behavioural/experimental economics, microeconomic theory, macroeconomics, and finance. We also have strong links with other