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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
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. The 11.7T scanner is being produced in collaboration with Philips, Tesla Engineering and the University of Glasgow, with the magnet scheduled for delivery in October 2026 and system integration continuing
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. Shortlisted candidates will be invited to an on-campus interview day at the University of Nottingham, to be scheduled for a day between September 15 and September 25. Interview invitations will be made in
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. Shortlisted candidates will be invited to an on-campus interview day at the University of Nottingham, to be scheduled for a day between September 15 and September 25. Interview invitations will be made in
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. Shortlisted candidates will be invited to an on-campus interview day at the University of Nottingham, to be scheduled for a day between September 15 and September 25. Interview invitations will be made in
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. Shortlisted candidates will be invited to an on-campus interview day at the University of Nottingham, to be scheduled for a day between September 15 and September 25. Interview invitations will be made in