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Field
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challenges in the development of sodium-ion batteries (SIBs) through the fundamental understanding and engineering of solid-electrolyte interphases (SEI) on hard carbon anodes. Sodium-ion batteries
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future hydrogen fuel cell powered aircraft. Join our diverse and inclusive team to transform the future of aviation as part of the Centre for Propulsion and Thermal Power Engineering. Offering fully funded
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should be submitted via the Engineering Materials PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name
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biology, stem cell engineering, biophysics and clinical orthopaedics. You will be based in the Norwich Medical School and Metabolic Health Department, and you can expect strong mentoring culture and career
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health, and intelligent operations. It is particularly suited to candidates with academic backgrounds in Industrial Engineering, Aerospace Engineering, Management Science, Operations Research, Transport
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Criteria You must have, or expect to gain, a minimum 2:1 Honours degree, or international equivalent, in chemistry, or chemical engineering, or in a closely related field. If you do not meet these entry
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. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and
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) their undergraduate degree in physics, engineering or chemistry (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control