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-scale metagenomic assembly and genome recovery • Comparative genomics and molecular evolution • Machine-learning-based protein prediction • Data integration, bioinformatics and phylogenetics • Scientific
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experience with finite element or finite difference modelling and its underlying fundamentals. The student should be able to program in MATALB or Python (MATLAB preferred as lead supervisor is more familiar
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Applications are invited for a 3.5 years PhD studentship. The studentship will start on 01 October 2026 Project Description Scientific Background Seagrass meadows, such as those formed by Zostera marina (common
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. See UKCISA for further information. Starting in October 2026. You will need to meet the minimum entry requirements for our Engineering Materials PhD programme. Candidates must meet Surrey graduate entry
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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of Aveiro, Portugal Applications are invited for a 3.5 years PhD studentship, starting 01 October 2026 Project Description Scientific background Vulnerable Marine Ecosystems (VMEs), such as deep-sea coral
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inaccurate for most scientific applications. To harness these accelerators for scientific computing, one must develop new algorithms that combine low and high precision computations in a way that preserves
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implementing AI algorithms to deliver safer and more efficient care. The student will have access to a unique training programme in AI in healthcare and health data science as well as a wide range opportunities
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across the South West and Wales. This partnership has established international, national and regional scientific networks, and widely recognised research excellence and facilities. We aim to provide you