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Field
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epidemiology, microbial genomics bioinformatics (coding skills) to assess measles evolution and diversity and implement your findings directly into WHO public health infrastructure (MEaNS database) to be used by
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bioinformatic tools and focused on clear interpretation and communication of this data. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in
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Nanopore sequencing, ChIP-seq, and Hi-C, to probe plant genomes and centromeres. The project will involve both wet-lab based functional genomics approaches, together with dry-lab based bioinformatics
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bioinformatic tools and focused on clear interpretation and communication of this data. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in
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V236E (ε3), which reduce the risk of AD by 2–3 times. This project will use bioinformatics and big data and induced pluripotent stem cell (iPSC) models —cells generated in the lab that can mimic brain
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generated high-fidelity LES datasets. These datasets, produced under a parallel investigation, will provide detailed flow and temperature information for a geometry representative of a pebble-bed HTGR core
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though not necessary. Previous experience in modelling or computation is highly desirable. Additional knowledge or experience in Neuroscience, Air Quality, Public Health, Bioinformatics, Mental Health
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in bioinformatics and genetics would also be considered. For genetics-focussed candidates, subject knowledge in obesity/metabolism is welcome, but not essential. For molecular biology candidates
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to collaborate not only with peers in Swansea but also with partners across the UK fostering a rich and diverse research environment. Your role will be to develop robust remanufacturing process
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of the mechanisms that lead to defect formation in DED-LB, and improve process control measures to either prevent or mitigate the defects. The additionality of external controls over the laser-matter interactions