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This post (Research Assistant/Associate in Computational Methods for Structural Wing Design) will allow you to contribute to a major industry-funded project developing the next generation of
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cells with tailor-made error-correcting codes. The successful candidate will combine computational design with laboratory work, developing DNA/RNA systems, molecular circuits, and experimental assays
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at a time, with each cycle of design, synthesis and testing taking months. This project will pioneer a faster way to do this: new chemistry methods that let around 100 candidate compounds be made
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new medicine usually means making and testing candidate drug molecules one at a time, with each cycle of design, synthesis and testing taking months. This project will pioneer a faster way to do
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to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
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predictions of river flow direction and connectivity. You will lead the development of scalable and reproducible data and machine-learning pipelines, upgrade the GRIT global hydrography, and design and evaluate
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. You will contribute to the UKRI-supported Centre for Heterogeneous Integrated Micro Electronic and Semiconductor Systems (CHIMES²) programme. CHIMES² is funded by the Department for Science, Innovation
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candidate will design algorithms that identify suspicious model updates, reduce the influence of compromised UAVs, and preserve useful learning from honest UAVs operating with different data and unreliable
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As a research-intensive university, we’re of one of the UK’s top 30 universities for research quality TheCompleteUniversityGuide.co.uk . We encourage innovation and rising talent, enabling
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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a