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behaviours of thin foils in vacuum and inert environments will be explored. Based on the results, a constitutive material model including the creep effect (time, temperature and load dependencies) will be
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motion capture data collection involving patients would be advantageous, as would experience with musculoskeletal modelling software. Candidates with experience in clinical practice relating to human
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insights into the robustness and resilience of land use decisions in an uncertain future. Relevant landscape models will be applied in selected case study countries to explore greenhouse gas flux and
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constitutive material model including the creep effect (time, temperature and load dependencies) will be developed. This project is available from 1st October 2025. Applications accepted until post is filled
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 2 months ago
of an accurate and generalisable density Equation of State model (EoS). This is especially challenging near the critical point and the Widom line, where there are large gradients in fluid properties. This project
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; (2) to better understand the complex role of the surface (i.e. fibre-infill interactions) in the generation of traction forces; and (3) to advance the measurement of the boot-surface interaction forces
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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, elasticity is identified to play a key role in reducing noise. Theoretical modelling has shown the noise generation by scattering turbulent fluctuations at an elastic trailing ledge, which can change the
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electronic health records, explore health usage related to HIV, TB, HBV and HCV for migrants to the UK. • adapt existing health economic models to estimate the cost-effectiveness of alternative infection
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Photovoltaic Modelling for Performance Optimisation Theme 3: AI-Enhanced Coordination of Renewable Energy for Smarter Grid Management Theme 4: Decoding Social Acceptance: The Community Lens on Large-Scale Solar