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Martian meteorite falls using advanced correlative microscopy techniques. To determine if they are the same or different Methods We will use a correlative, big data approach that combines X-ray computed
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Science Project aims: New variants of hierarchical Bayesian models of cognitive processes can be investigated using simulated, existing and new data sets. Novel applications and model extensions may allow
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member of both the ATLAS and LHCb experiments as well as leading work on the computing grid used for data analysis and detector developments for future collider and neutrino experiments. More information
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help in the assessment of the effect of restoration on water quality. Potential data types that could be of interest include (but are not limited to) – GFT Water quality data, SEPA flow data, geology
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Academic Technology Approval Scheme (ATAS) More information Student testimonial Current PhD Students