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explore novel image reconstruction and segmentation algorithms for improving the contrast and space+time resolution of dynamic in situ micro and nano CT (computed tomography). The position offers the unique
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position will explore novel image reconstruction and segmentation algorithms for improving the contrast and space+time resolution of dynamic in situ micro and nano CT (computed tomography). The position
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analyses on metabolomic and multi-omic datasets, contributing to cutting-edge research in inflammatory bowel disease. A key aspect of this role involves analyzing Raman spectroscopy imaging data from
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an internationally recognised multidisciplinary team to develop new technologies and advanced analytics such as deep learning methods for the analysis of images and videos for species identification