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Funding providers: Swansea University's Faculty of Science and Engineering and the University of Edinburgh's School of Physics and Astronomy Subject areas: Physics, Mathematics and Computer
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thereafter. This advert might close once a suitable candidate is found. Please apply as soon as possible to avoid disappointment. Further Information: The University of Edinburgh is committed to equality
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international candidate will be registered with University of Edinburgh for the four years, during which time Edinburgh will generously cover international tuition fees. This means that this applicant will not
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at the University of Edinburgh, and co-advised with Dr Farid Shahandeh at the Royal Halloway University of London on a project titled “Resource frameworks for secure quantum computing and quantum
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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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an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject
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Deadline: 19th April 2024 (or until position is filled) One fully funded PhD position to work with Dr Milos Nikolic in the School of Informatics at the University of Edinburgh, on a project titled
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One fully funded PhD position is available at the University of Edinburgh specifically within the theme of Quantum Computing. You will be based in the School of Informatics, with supervision from
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2 High Performance Computing (HPC) facilities such as ARCHER2 and Cirrus to facilitate your research. The ideal candidate should have an interest in fluid dynamics, analytical/mathematical modelling
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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