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engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the development and application of bespoke thin-film gauge heat
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engineering, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge of optical diagnostics and optical experiments to operate within the planned programme of
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, computational sciences, physical sciences, or mathematics, together with sufficient specialist knowledge and hands-on experience in the CFD simulation of internal combustion engines, and in particular in-cylinder
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). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
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/DPhil in a relevant subject area related to Biology, biotechnology, photonics or biophysics and possess sufficient specialist knowledge to work within the established research programme. You will have
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/DPhil or be near completion* in one of the following: Finance, Mathematics, Statistics, Econometrics, Finance, Computer Science, or a closely related subject (preference will be given to those with a
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, computer science, engineering, mathematics, etc) together with relevant experience. You have strong programming skills (R and/or Python or similar) and the ability to write code in such a way that the data analysis