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Field
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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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experience of conducting quantitative research, with strong writing skills. About us The Faculty of Health at the University of Plymouth delivers exceptional clinical and academic learning, social engagement
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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geotechnical engineering, archaeology, geophysics, sensing and machine learning, with group members from seven different countries, speaking over ten different languages. Perks of this role include: Opportunity