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technique known as ‘parametrisation’. The goal of this project is to create data-driven parametrisations that represent unresolved small-scales in ocean and atmosphere models. The student will develop, train
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PhD project will develop, construct and apply Machine Learning techniques to the process data generated at the pilot scale to enable the prediction of process performance at larger scale. This will
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