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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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bioprocessing technologies to deliver efficient pathways for upcycling captured carbon into high value products. The successful candidate will have a PhD, or be studying towards a PhD, in synthetic biology or a
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suited to candidates with strong quantitative and analytical skills and a PhD (or near completion) in cancer epidemiology or a related field. Applicants should have experience in applying or developing
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community of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience
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provided with research space for the duration of the CDA, a local mentor, access to PhD and MPhil students, and matched seed funding for equipment to strengthen the CDA proposal. Applications (CV and cover
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PhD students, three Research Assistants, as well as research visitors and interns. We value our team's complementary skills (e.g., differing backgrounds, research approaches, and areas of expertise