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PhD Studentship - Physics-based Mathematical Modelling of Water Electrolyzer for Hydrogen Production
physics-based mathematical model of a water electrolyser for hydrogen production that operates on the dynamic electric supply simulating renewable electricity generation (such as offshore wind). The model
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)) models are used at all stages of pre-clinical and clinical development, but they are based on mathematical and statistical principles dating from the 1970s. Developing these pharmacometric models remains a
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that can help engineers understand electromagnetic compatibility issues in railway 25kV AC overhead lines. This will include developing models, mathematical techniques and software tools that can predict how
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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motivated students with an interest in the following experimental and theoretical/mathematical topics (examples): Quantum transport in ultracold atoms (theory and experiment) Quantum sensing (magnetometry
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audiences, building both theoretical and practical advances with real-world impact. Supervisory Team: The candidate will be supervised within the Division of Games Technology and Mathematics Division by a
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, or expected to achieve, at least a 2:1 Honours degree (or equivalent if from other countries) in Chemistry or Mathematics or a related subject. A MChem/MSc-4-year integrated Masters, a BSc + MSc or a
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at the appropriate time. To support the process to decide when renewals will take place, mathematical models are needed to indicate the contribution that the assets make to the safety risk, and also the expected costs
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(with Merit or Distinction), in a related field such as (but not limited to) Engineering, Physical Sciences, and Mathematics. Experimental experience would be an advantage but not required as full
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one or more of 40+ expert academics from the School of Informatics, the School of Mathematics, the School of Physics and Astronomy, the School of Engineering, or EPCC. As part of an interdisciplinary