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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 understand microbial laboratory practices and
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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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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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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