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Field
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converting a widespread pollutant, nitrate, to a valuable fertiliser and chemical feedstock, ammonia. Harnessing sunlight as an abundant and sustainable source of energy to drive the upcycling of waste
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training programme. You will join a vibrant community of world-leading researchers. All NRPDTP students undertake a three-month professional internship placement (PIPS) during their study. The placement
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their host plant. Use cutting-edge molecular biology and genomics, we will try to solve a decades-old mystery in plant pathology. Many plant disease-causing fungi lose their ability to cause disease
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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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that benefit fitness in the opposite sex. You will receive outstanding interdisciplinary training in computational biology, experimental genetics, and molecular biology. The supervisory team offers expertise
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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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comprehensive training programme. You will join a vibrant community of world-leading researchers. All NRPDTP students undertake a three-month professional internship placement (PIPS) during their study. The
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is a multidisciplinary research lab, providing the opportunity to develop extensive skills in a breadth of areas, including plant pathology, molecular biology, and computational biology. Whilst
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), computation (bioinformatics, machine learning, statistical analysis), working with animals (radio-tracking, animal handling/sampling), and deep knowledge of evolutionary biology and gerontology. The Norwich
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the laboratory of Dr. Phil Carella, located in the Department of Cell and Developmental Biology at the John Innes Centre. It provides an exciting opportunity to explore disease resistance in the emerging model