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on the phase shift of vibration of the structure. However, the coupling effect of flow performance and vibration of structure, as the underlying mechanism of CMF operation, is not considered in the CMF
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learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
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and stem cell biology. The study investigates how APOE4 expression in endothelial cells affects oligodendrocyte progenitor cells (OPCs), using iPSC-derived 3D co-culture models. This work aims to
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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operation of Lab-on-a-Chip devices, DNA analysis, work with aquatic vertebrates, or field campaigns How to apply Interested applicants should contact Dr Kirsty Shaw (k.shaw@mmu.ac.uk) or Dr Hannah Robson
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
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integrity due to formation of macroscopic defects. Transitioning to Net Zero requires new solutions for automotive and off-road applications, including hydrogen and LCI fuels. They include the use of both
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working details: The project requires lab work to identify specimens which will need to be completed on campus. Data analysis at the end of the project could be completed remotely. Flexibility: Is it
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understand and characterise the real-world variability of conditions for chain drives in high performance sport. Improving the emulation of race conditions improves the optimisation of components for riders
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for health and wellbeing. Successful students will work on projects that aim to make a real difference for affected communities, by investigating challenges including but not limited to aging populations