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methods for defect detection; Apply AI and machine learning techniques to process, analyze, and interpret complex NDE data; Create AI models for automated defect detection, classification, and
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Research theme: Formal Methods How many positions: 1 This 3.5 year PhD is funded by the Department of Computer Science at The University of Manchester. The successful candidate will receive
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including biolayer interferometry, flow cytometry, high-content live cell microscopy and (in 2024) confocal microscopy. From 2025 the team will host a UK unique automated glycan synthesis platform. The
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microscopy. From 2025 the team will host a UK unique automated glycan synthesis platform. The GibsonGroup is a positive research environment, and the successful candidate is expected to contribute