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bio-optical (fluorescence and backscatter) data from a 2025 research expedition to the Bellingshausen Sea, West Antarctica, coupled with data from laboratory analyses of algal pigments, particulate and
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to analyze and interpret this data and use it to describe dysbiotic microbiomes. Visiting international conferences and training courses as well as exchanges with international collaborators are part of
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relatives and made our ancestors take over the world? This fundamental question remains unsolved. We can now tackle this from a new angle, leveraging the unprecedented genetic data available in biobank-scale
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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, are crucial for modelling volcanic processes and are vital for understanding the transitions. Geophysical monitoring provides essential information to constrain these parameters and inform decision
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metagenome sequencing to characterise urine microbial compositions in these groups and 18S qPCR to examine human DNA load, a proxy for disease severity. Whole genome sequence data will be used to compare
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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