25 computer-science-programming-languages-"Prof"-"Prof" PhD positions at University of East Anglia in United Kingdom
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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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. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year
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facilities, located at the core of the Norwich Research Park. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry
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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months
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equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: biology, environmental sciences or related
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Requirements: At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: environmental sciences
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metagenomic datasets. This project provides an exciting opportunity to discover new bioactive molecules and develop skills across informatics, biology and chemistry. Applications are welcomed from students who
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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
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model, human organoid technology, cell and molecular biology, confocal microscopy and metagenomic sequence analysis. By deciphering the interactions between AIEC, the microbiome and the intestinal
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods