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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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in English, both written and spoken, with the ability to communicate complex ideas clearly; - who has experience with statistical programming (e.g., Stata, R); - who is motivated to study policy
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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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. However, many existing school-based nutrition programs fall short by not adequately addressing the specific challenges faced by disadvantaged families or by failing to actively involve the broader school
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(wind) data. The PhD position entails a combination of theoretical and practical developments, and the candidate will work with simulations, programming, and data processing. The methodologies applied by
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with Machine
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should have a Ph.D. in experimental particle physics, excellent data analysis, computing and programming skills and the ability to carry out an independent research program. Prior experience with CMS will
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details of the project informally, please contact: Prof Hywel Morgan, Digital Health and Biomedical Engineering Research Group, Email: hm@ecs.soton.ac.uk Entry Requirements A very good undergraduate degree
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Prof Zongping Shao’s research lab, and are also available in WA School of Mines (WASM). The proposed research is strongly aligned with the hydrogen energy technology research at WASM. The success
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined