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, SEM/TEM, XPS, Raman amongst other techniques. The project will be jointly supervised by Dr Yagya Regmi and Prof Laurie King. This new project will be highly collaborative and interactive- you will have
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fuel cell and electrolyser models in COMSOL. The project will be jointly supervised by Dr Yagya Regmi and Prof Laurie King at Manchester Metropolitan and an additional industrial supervisor. This new
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. Yagya Regmi and Prof Laurie King. This new project will be highly collaborative and interactive, and so you will have the opportunity to learn all of the required techniques from our highly supportive and
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advanced algorithms that align, merge, and aggregate datasets while maintaining data fidelity, the project contributes to the CAMS goal of enabling precise, accurate, and actionable analytical insights
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Materials Group under the supervision of Prof. Nick Jones and Dr Nicole Church. Ti6Al-4V has been the aerospace industry's standard titanium alloy due to its strong balance of properties and low density
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Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 September 2025 Details Are you passionate about renewable energy and
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; Midlands Graduate School Doctoral Training Partnership | Nottingham, England | United Kingdom | 3 months ago
the intention-behaviour gap emerges? The project will be jointly supervised by Prof James Goulding (University of Nottingham), Dr Arkady Konovalov (University of Birmingham), and Dr Evgeniya Lukinova (University
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for and the name of the relevant supervisor. Applicants are invited to contact Prof. Jeevaratnam (k.jeevaratnam@surrey.ac.uk ) to discuss the project informally prior to making an application. Funding
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of diagnostic and prognostic algorithms. Electronic Prognostics Systems: Facilities equipped to assess the health and predict the remaining useful life of electronic components, supporting studies in electronic
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from motion blur, defocus, and imaging artefacts, which hinder accurate diagnosis. This project aims to restore image clarity by designing intelligent algorithms that recover fine anatomical details