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home tuition fees only and a tax-free stipend. Applications are only open to students who qualify for UK home tuition fees. Supervisors: Prof Tricia McKeever (Professor of Epidemiology and Medical
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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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reach the limit of the electrical grid connections to their sites if the transition is not done in an optimal way, an issue that will be prominent in industrial, commercial and residential areas across
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of dehydration using a low-power radio-frequency (RF) sensor. The research objectives include design optimization to improve wearability, robust data acquisition using machine learning and establishing correlation
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developed. This project is available from 1st October 2025. Applications accepted until post is filled. Informal inquiries can be made via email to Prof. Chris Bennett (c.bennett@nottingham.ac.uk
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. Informal inquiries can be made via email to Prof. Chris Bennett (c.bennett@nottingham.ac.uk ). Eligibility: Due to funding restrictions this position is only available to UK candidates. Please apply here
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have a leading programme of research into creating synthetic mimics of IBPs, understanding their function, and deploying them in healthcare and biotechnology - for example storing cells and tissue
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agents into the cells, polymers to stabilise the membranes and the precise control of ice growth. We will use conventional as well as high-throughput technologies, including our in-house platforms
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Supervisory Team: Dr N.C. Townsend, Prof A. Murphy PhD Supervisor: Nick Townsend Project description: In this PhD project you will explore novel wave energy harvesting systems for maritime robotic
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Supervisory Team: Prof. Gennaro Scarselli PhD Supervisor: Gennaro Scarselli Project description: Carbon fiber reinforced plastics (CFRPs) are popular in engineering applications due