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Extended reality (XR) is steadily developing into a reliable digital environment, bringing tangible advantages to various practical scenarios. Realistic use cases include immersive medical training
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through health, retail, mobility, energy and communications. This exciting PhD programme will first use qualitative methods to investigate how the public access and use OTC medications for a range of common
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biomedical applications, including targeted drug delivery and non-invasive medical treatments. The swimmers could take drugs right up to cancerous cells. This project offers hands-on training in cutting-edge
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aerospace, healthcare, and industrial automation. In safety-critical domains, such as aviation and medical devices, rigorous certification processes and continuous lifecycle monitoring are essential to ensure
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with a wide network of stakeholders, and explore new avenues for medical applications. For ongoing work and publications on this project, please see our website: www.cnnp-lab.com . This is a 12-months
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consider diagnostic waste. The post-holder will be required to demonstrate knowledge of sustainability issues impacting the medical devices industry. They will be expected to work as part of a wider research
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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utilise numerical techniques including the finite element method to describe biofluid flow and deformation in the human brain tissue. Parameters are inferred from clinical data including medical images
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: feps-pgr-apply@soton.ac.uk The School of Electronics & Computer Science is committed to promoting equality, diversity inclusivity as demonstrated by our Athena SWAN award. We welcome all applicants
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between the RF signals and hydration levels in human tissue. The outcomes of this research will reduce the impact of dehydration in medical care, with potential applications in sports science, aerospace