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subset of serotypes. Consequently, through a process called ‘serotype replacement’ previously infrequent serotypes have expanded in prevalence to become those most observed. Consequently, even in countries
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expertise in other areas listed above are welcome to apply. Applicants must have a PhD in Astronomy, Physics, Computer Science, Engineering or a related field, or have satisfied the requirements for PhD, by
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, finite element simulations of vibration propagation, and AI-based signal analysis to establish a physics-informed understanding of the relationship between structural behaviour and fall detection accuracy
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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students Subject areas Computer sciences Physical & Environmental Sciences Project description The accelerating impacts of climate change—particularly those related to water, such as flooding, coastal
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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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Learning heat: Physics-Informed Fourier Neural Operators for High-Fidelity Thermal NDE Modern non-destructive evaluation (NDE) increasingly relies on AI models that can reason with physics, scale
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(or equivalent) in engineering, physics, mathematics, computer science, or economics. How to apply: Please choose the Electrical and Electronic Engineering Research Program and the Control and Power Group, then
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University of Birmingham and afield. To apply, please click on the 'Apply' button above (physics programme) clearly stating the title of the project and the name of the supervisor (Dr. Miguel Navarro-Cía
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational