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sequence the complete DNA of babies at birth to screen for hundreds of genetic conditions. This PhD project will generate the evidence to inform which genes and variants should be included in newborn genome
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of Klebsiella, a clinically important pathogen. Combining eco-evolutionary theory, lab experiments, and genomic sequencing, you will help build and validate a model predicting how antibiotic selection shifts with
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to treat infections caused by multiple bacterial species at once? Could eliminating one pathogen unintentionally allow another to flourish? This PhD will tackle this critical question, uncovering when
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of treatments for a specific disease or condition can vary across individuals, so that in settings where multiple treatment options are available, different individuals may require different treatments to obtain
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mm-wave Huygens’ metasurfaces that are closely aligned with the DSTL specified application, characterize the existing untested samples, and manufacture the most promising designs. About the funder