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experimental techniques, such as machine learning, two dimensional gas chromatography, as well as test equipment for quantification of basic physico-chemical properties of aviation fuels. The PhD programme will
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data-driven machine learning methods to develop scalable and accurate novel computational tools. Further project details can be found at: https://www.sheffield.ac.uk/acse/phd/phd-position-control-theory
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