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of these factors. The work will involve genomic, proteomic and molecular approaches to decipher how these proteins contribute to NEPC and to explore if they can be therapeutically blocked. We aim to understand how
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Location: Streatham Campus About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making
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Primary supervisor - Dr Martin Taylor Project Overview Catfishes are the most diverse group of venomous vertebrates (>3,000 species), yet the molecular basis and evolutionary origins of their venoms
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species, we can hopefully also contribute to better safeguarding its future. The student will receive broad training in molecular biology, historical DNA, genomics, bioinformatics and population genetics
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health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
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programs. The student will join a well-supported team of chemists and biochemists (Master’s and PhD students, and postdocs) who are well-placed to provide a supportive and ambitious peer group. The student
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, possibly by extending it to the relevant derived categories. The successful applicant will join the very active and supportive ANTLR group at UEA (currently comprising 7 faculty, 5 postdocs and 8 PhD
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formation, dynamics and functions of four-stranded DNA G-quadruplex structures and modified DNA bases in the genome (e.g. see Genome Biology, 2025 25, 155; Nature Chemistry, 2025, 17, 875; PNAS, 2024, 12(7
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molecular mechanisms where genetic mutation, exposure to high insulin and low glucose combine to cause neurodegeneration in the brain. You will employ multiomic deep phenotyping to identify molecular
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physiologically relevant models e.g. human airway epithelial air liquid interface using cells isolated from different patient groups combined with molecular biology approaches to mechanistically determine the key