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unique combined system using an optimised AF scanning procedure that integrates Raman measurements to analyse lymph node biopsies within 10 minutes and machine learning algorithms to deliver quantitative
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and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre at the Nottingham Breast
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extend their research portfolio. Candidates must hold a PhD, or be near to submission of a PhD, in a relevant field of Microbiology or Evolutionary Genetics, ideally involving Fungal Biology. They must
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the genetic basis of differences in sexual fertility between isolates and how gene flow contributes to pathogen evolution and development of antifungal resistance. The post holder will be expected to undertake
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biology of Aspergillus fumigatus, a principal cause of aspergillosis disease in humans. Specific aims are to understand the genetic basis of differences in sexual fertility between isolates and how gene
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opportunity to use their initiative and creativity to identify areas for research, develop research methods and extend their research portfolio. This position requires extensive experience working with genetic
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scientific boundaries and overcome hurdles. They will have experience in stem cell culture, imaging, molecular biology, genetic engineering and/or bioinformatics analysis. This will enable new approaches