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to be performed on site for 80% of the time, but there will be opportunities to work remotely for 20% of the time, when processing data or preparing manuscripts and presentations. About You To be
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, with the ability to work effectively at the engineering-biology interface. Hands-on experience of cleanroom micro- or nanofabrication, particularly silicon or porous-silicon processing, surface
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the Faculty of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our
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Experience in Biological NMR and Structural Biology demonstrated by good research track record Familiarity with SAXS methods and data analysis Relevant experience with data collection, processing and data
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, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation
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a start date from the 01st January 2027. You should hold a PhD in Computer Science, with expertise in Natural Language Processing, and have a demonstrated track record of research at the intersection
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of the set-up and recruitment of patient cohorts, clinical and biological data collection, and the collection, processing and storage of human biological samples. The post-holder will lead cellular