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To undertake research on the evolution of prokaryotic pangenomes using machine learning and AI approaches. The work will involve the analysis of large prokaryotic genome datasets, the development
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will work at numerous sites across the UK, including in East Anglia, Somerset, and Lancashire. The position will involve extensive fieldwork duties, frequently with overnight stays, and you should be
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for the early detection of mild cognitive impairment (MCI) and prediction of its progression to Alzheimer¿s disease through the analysis of corneal nerve images. You will be based in the Institute of Life Course
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
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animal health research. Essential Criteria: A PhD in microbiology, veterinary microbiology, or a closely related field. Proven experience in microbiological laboratory techniques, including bacterial
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to meetings with industrial collaborators if required ¿ Engage with your own personal development opportunities. You should have a degree in Chemistry and a PhD in polymer chemistry. All applicants must
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PhD in a relevant scientific discipline, for example, Cell Biology-related subject, Tissue Engineering or Biomaterials. Excellent manual dexterity and experience in cell culture and models, and tissue
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31 August 2027. You should have obtained a PhD, or passed PhD viva, in Materials Science, Chemistry, Mechanical Engineering, or Chemical Engineering. If you are still awaiting your PhD to be awarded
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strategic dissemination, ultimately aiming for widespread adoption and commercial success. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written