13 phd-molecular-and-computational-biology PhD positions at University of East Anglia
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, with exciting implications for future crop improvement and environmental sustainability. By combining state-of-the-art technics in cell biology, genetics, molecular biology, and proteomic, this project
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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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(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
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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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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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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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advantage of advances that we have made in this area. The successful candidate will be trained in an array of biochemical and molecular biology techniques (e.g. cloning, recombinant membrane protein
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. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project whilst enhancing professional development and research skills through a comprehensive training programme. You will
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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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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