17 postdoc-in-thermal-network-of-the-physical-building PhD positions at Loughborough University
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, to support the experimental activity. The candidate will be joining a multidisciplinary team in a lab where we design, make and validate materials and structures. This PhD will expose the successful candidate
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, and epibenthic biodiversity. The project will build on a working prototype, the Neural Network Enhanced Marine Observation system, a low-cost, shallow-water, edge-AI-enabled spatial camera system
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for an enthusiastic and self-motivated candidate with a first-class / high 2:1 degree in a relevant Engineering or Physical Science discipline. A relevant master’s degree and/or employment experience will be
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achieving Net Zero by 2050. In partnership with Plant Health at Defra (Department for Environment, Food & Rural Affairs), this project introduces a novel AI-driven framework to protect the nation’s plant life
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, primarily due to validation gaps in high-pressure boiling phenomena and the lack of high-fidelity experimental data. Building on recent advances in non-intrusive, high-resolution optical diagnostics
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This project responds to a three-year marine litter monitoring campaign on the Isle of Skye, Scotland, UK. It builds on Loughborough University’s 50 Years of Litter on Skye and associated research
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; elsewhere, exposure sustains disinvestment. This PhD investigates these dynamics, known as hazard gentrification, and asks how cities can design adaptation that is resilient and socially just. You will build
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international tuition fees provided by the University. How to Apply: All applications should be made online via the above 'Apply' button. Under programme name, select ‘School of Architecture, Building and Civil
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theories and models. This project aims to develop new insights into how bedrock incision processes interact with geological and climatic factors (i.e. spatially variable uplift, shield building, mega
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should be made online . Under programme name, select School of Architecture, Building and Civil Engineering. Please quote the advert reference FCDT-26-LU9 in your application. This PhD is being advertised