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performed using multiple X-ray sources, from the synchrotron to the laboratory, and using a variety of imaging techniques, from direct imaging to computed tomography, to develop methods for implementation
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term
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