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Arrest [4]. Digital twins will be developed as fully configurable Matlab code, with a well-defined user interface, and will run faster than real-time. The digital twins will be used to investigate a number
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Science, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior
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both rigorous mathematical arguments and numerical experiments; programming experience in a language such as Python, Julia, MATLAB, C or C++; good written and spoken English; the ability to work
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of posterior curvature. The project will establish optimised OCT acquisition and de-warping methods, build robust segmentation and curvature-analysis algorithms, and validate clinically meaningful shape metrics
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are developed enabling a virtual assessment and optimisation of steel microstructures before they are produced. This programme is therefore essential for the future hydrogen economy. Thermal interfaces
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-frequency measurements Installation, optimisation and maintenance of monitoring equipment (this will include optimising logger programs, power management and developing calibration routines; use
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under UK climate and grid demand profiles, economic assessment, life‑cycle analysis, and AI‑driven multi‑objective optimisation. Although the initial focus will be on gas turbines, the hybridisation
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attention to how interventions such as optimised scour protection, engineered reef units, may contribute to ecological enhancement alongside broad social, natural capital and carbon outcomes. The work will
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-physical systems, energy systems, or smart buildings Good programming skills (Python, MATLAB, or similar) Excellent communication skills in English Who we are The PhD Fellow will be affiliated with
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response of flexible cables to accelerate design optimisation. Analyse and quantify model uncertainties and perform global sensitivity analysis. Delivertechnicalreportsandcontributetopeer