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programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
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cell and spectroscopic analysers. Programming (e.g., R, Python) and machine learning for advanced atmospheric time-series analyses. Skills for presenting research at conferences and writing peer-reviewed
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programs. The student will join a well-supported team of chemists and biochemists (Master’s and PhD students, and postdocs) who are well-placed to provide a supportive and ambitious peer group. The student
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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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preclinical mouse models and stool samples collected from patients with myeloma. In parallel, the project will explore how these changes impact immune cell populations and responses to infection. To do
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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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at neighbouring institutes throughout the broader Norwich Research Park in areas such as long-read sequencing and single-cell transcriptomics. The Norwich Research Park Biosciences Doctoral Training Programme
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discovery. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2025 entry. The programme offers postgraduates the opportunity
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that are interested in the evolution of plant-pathogen interactions. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry
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community, supported by cutting-edge research facilities and excellent training opportunities. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships