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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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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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in RNA biology, biochemistry, and Oxford Nanopore sequencing. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry
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. genetics, molecular biology, evolutionary biology) or a quantitative science (e.g. computer science, statistics, physics), and have strong interests in genomics, data analysis and evolution. The Norwich
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-Markovianity. For sufficiently Markovian systems, the photon-photon correlations can be computed using the quantum regression theorem together with a Lindblad equation for atomic ensembles or a HEOM model of a
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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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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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training in: Biocatalysis and enzyme screening. Natural product derivatization and purification. Analytical chemistry (NMR, LC-MS, HPLC) Mammalian cell-based pharmacology. Multidisciplinary collaboration
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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