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Field
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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leveraging collaborations across various Swansea University facilities to use DIC in both biomechanics labs and simulated clinical environments. The Biomedical Engineering Simulation and Testing (BEST ) Lab
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Cranfield University and Magdrive will study plume effects of Magdrive's dynamic pulsed plasma thruster on relevant targets. Simulation of plasma expansion and condensation in the space environment will be
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simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour
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developing next-generation antimicrobial peptide (AMP)-based solutions targeting vaginal fungal infections, particularly Recurrent Vulvovaginal Candidiasis (RVVC). The project combines microbiology, molecular
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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases
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Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in
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overcomes the geographic limitations of conventional systems, enabling global scalability and accessibility. Using advanced computational fluid dynamics (CFD) approaches, the project is aimed at advancing
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research is dedicated to improving the diagnosis and treatment of fungal infections. Additionally, we explore the biology of these infections, as well as the molecular mechanisms behind stress and antifungal
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environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES