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. The Centre brings together a multi-disciplinary team of over 20 PhD and Postdoc researchers in micro/nano manufacturing, precision metrology, medical devices, optics, materials, in fundamental and
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role involves evaluating and fact-checking the outputs of LLMs and integrating them with manual and AI-generated labels to assign quantifiable confidence limits to each finding. Emphasis will be placed
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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