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, and test a convolutional neural network to predict small-scale properties (such as energy transport, dissipation and velocities) from the large-scale features of the flow. The student will learn how
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attributes (CQAs). Nestling wishes to collect the data and apply machine learning techniques to identify process efficiency improvements and enable prediction across scales for a given biological process. The
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of £20,034 Overview Curious to learn more about the strongest magnets of the Universe? This PhD project will explore connection between magnetic fields of neutron stars and properties of the matter in
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