14 multiple-sequence-alignment PhD positions at University of Birmingham in United Kingdom
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Using metagenomic sequencing to diagnose the causative agent of an infectious disease is becoming one of the most hotly pursued research topics in microbiology. This method allows sequencing to be
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. These events can reshape microbial communities and elevate the risk of human exposure to harmful pathogens. This project will use cutting-edge metagenomic, genomic and transcriptomic sequencing to investigate
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sequencing, metatranscriptomics and metagenomics to link taxa and functional genes (pmoA, mmoX, phnJ). Depth-resolved analyses will reveal which methanotroph taxa align more strongly with sediment fluxes
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the drivers behind this public health issue have not been identified. In this project, we will use a dataset of C. difficile genome sequences to generate a nationwide population snapshot of
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for antibiotic prescription. Novel, rapid, point-of-care, precise and easily interpreted diagnostic tools are required to tackle this challenge. Direct sequencing of nucleic acids from patient samples can be rapid
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been enhanced through predictive structural biology tools such as AlphaFold, which allow accurate prediction of effector structures from primary sequence. We recently identified a number of immune
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resonant acoustic mixing (RAM) – a relatively novel processing methodology which is of increasing industrial interest spanning multiple sectors. The project will allow the candidate to explore a number of
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. The academic supervision team have a track record of more than 20 years each on distributed radar research. The project is aligned to our strategic priority of expanding our critical mass on distributed radar
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Timing (QuSIT) and BAE Systems. The academic supervision team have a track record of more than 20 years on distributed radar research. The project is aligned to our strategic priority of expanding our
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demonstrate good communication, teamwork, and motivation for high-impact, interdisciplinary research aligned with the EPSRC remit. Funding notes: The project is supported by the EPSRC Doctoral Training