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the structural performance of composite sleeves under operational conditions, such as centrifugal forces, bending, and thermal stress. You will work closely with the PEMC and Composites Research Groups, industrial
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demonstrate the utility of an adaptive mesh refinement approach in interface resolving Computational Fluid Dynamics (CFD) simulations of flow boiling at conditions relevant to nuclear thermal hydraulics
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-intrusive alternative to conventional testing methods. However, its performance remains constrained by a reliance on manual configurations, suboptimal test conditions, and limited adaptability to varied
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control of the electrical power system for aircraft applications, ensuring system stability across a wide range of nonlinear loads and operating conditions. Aim You will have the opportunity to research and
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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Masters degree (or expected to gain a Masters within 6 months). The ideal candidate will also have experience of working with healthcare professionals, patients with mental health conditions; and research
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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to changing environmental conditions for improved efficiency in renewable energy systems. To design the novel, multi-material printing strategies to develop tuneable energy devices. To evaluate the real-world
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optimal operating conditions and followed by surface analysis techniques (e.g. Scanning electron microscope, X-ray diffraction for residual stress measurements, Electron Back-Scattered Diffraction and