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and embrittlement by precisely optimizing additive manufacturing parameters. By combining experimental investigations, advanced microstructural analyses, and numerical simulations, a novel manufacturing
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, resolution, sensitivity, and operational range. The primary application of the research is in biomedical engineering, specifically in the development of MEMS-based sensors for robotic surgery. Robotic surgery
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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, surgery planning with patient data for surgeons, real-time remote guidance for maintenance in industrial plants, and iterative design simulation for architecture and engineering. However, its wide adoption
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innovation and is a unique casting, design, simulation and advanced manufacturing research facility. In recent years successes of the partnership have been recognised through the Bhattacharyya Award (2022) and
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
tomography, Raman spectroscopy) to map 3D drug distribution inside tablets. Measuring real-time disintegration under simulated stomach conditions. Analysing drug release data to refine predictive models
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow