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reservoir heterogeneity. This project will integrate core observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations
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, but its human burden is badly understood. This PhD addresses this gap, integrating multiple high‑value datasets describing metagenomic and metatranscriptomic sequencing information, clinical and
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, integrating these data to investigate disease mechanisms at unprecedented resolution. You will investigate how genetic variation, including differences in mtDNA variant levels between cells, influences cellular
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heterogeneities and depositional facies on the distribution and extent of alteration processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct
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chemistry and biology to help speed up the discovery of new medicines. You will join an established, successful, integrated drug discovery group in a project led by Professor Mike Waring and Dr Hannah Stewart
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. Field research: A major component of the PhD will involve intensive in-situ field measurements in selected sites of the TIF-CER field network and integration of data from across the field network
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approach to real drug targets in cancer, working at the interface of synthetic chemistry and biology to help speed up the discovery of new medicines. You will join an established, successful, integrated drug
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field network and integration of data from across the field network. The project will use standardised biodiversity monitoring across to examine how wildlife responds to tree-based farming systems
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integrity Validate findings in human tissue via collaboration with the HEETR eye bank (P1-UT), accessing AMD donor eyes for histological and molecular correlation. Model multicellular crosstalk by building
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bacterial proteins that facilitate the acquisition, transport, and integration of REEs into microbial metabolic processes. During this interdisciplinary project, which combines microbiology, structural