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@uea.ac.uk The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity
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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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both laboratory (sequencing, qPCR, phage biology) and computational/analytical areas (bacterial and phage phylogenomics, genome-wide associations). During the PhD programme the student will spend time at
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small elements of computational chemistry (electronic structure calculations) to help interpret experimental observations, supported by local and national supercomputing facilities. Entry Requirements
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Primary supervisor - Prof Mark Searcey One of the key problems in the development of new anticancer agents is specificity. How do you get the compound to the site of action in the body and avoid the side effects that are often seen with classical cancer drugs? Over the years there have been a...
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python