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this, we will combine bacterial and phage genomics with clinical data, perform qPCR expression assays and assess prophage mobilisation potential in the laboratory. This will help inform public health
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methodologies including, DNA isolation, library preparation and sequencing as well as bioinformatic skills to analyse the acquired sequencing data. The project will be supervised by Dr Hellmich and Prof Rushworth
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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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Butt (j.butt@uea.ac.uk ) for further information. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme
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. The standard minimum entry requirement is 2:1 in Computing science or related fields. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of
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application. Entry Requirements Acceptable first degree - Mathematics. 1st class BSc or 2:1 Masters or equivalent. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a competition
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-time Start date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition
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degree. Mode of Study Full-time Start Date 1 October 2026 Funding Information: This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and
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exchange ratios (ERs) to separate NEE signals into GPP and TER components. Data will be collected from the Weybourne Atmospheric Observatory in Norfolk, and using the ‘OXYMOBILE’ mobile laboratory
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, Biochemistry, or Natural Sciences. Minimum academic requirement - A 2:1 undergraduate degree with a Masters qualification. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a