36 computer-science-associate-professor PhD positions at University of East Anglia in United Kingdom
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. This interdisciplinary chemical biology and plant biology project will involve training in cutting-edge science including computational design and peptide/small molecule synthesis, as well as evaluation of the compounds
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devastating fungal disease of cereals, Blast (caused the pathogen Magnaporthe oryzae). The studentship will involve techniques including molecular biology, biochemistry, structural biology, AI-led computational
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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months
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their knowledge of synthetic biology and green chemistry, and benefit from opportunities to participate in national and international conferences. Informal enquiries are encouraged, please contact Professor Julea
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the mechanisms associated with loss of virulence, as well as identifying novel genetic determinants of pathogenicity. The project will provide broad training in molecular genetics, genomics, cell biology, and
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tests) and patient reported measures. Professors Guy Leschziner (neurology) and David D’Cruz (rheumatology) will be clinician advisors on this project. The student will also help co-ordinate
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to regulate lipid metabolism in hepatocytes and its impairment contributes to fatty liver. Importantly, the role of alternative cellular mechanisms of intracellular cargo degradation like LC3-associated
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Primary supervisor - Dr Rebecca Taylor This project is recruiting to a 1st February 2026 start date. Ageing is associated with increased rates of disease, including neurodegenerative conditions
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across different imaging devices, including future sensors with unknown spectral sensitivities. Training The student will be based at the Colour & Imaging Lab at the School of Computing Sciences which has
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associated with genome dominance. Transposable element distribution and activity will also be analysed using long-read sequencing. This project is primarily computational and offers comprehensive