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Field
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summary Join an international team developing scalable algorithms to solve numerical linear algebra challenges on supercomputers. Modern high-performance computing increasingly relies on hardware
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, cooperative operation among connected electrified vehicles such as airport trailers, delivery pods, or urban mobility fleets. Using multi-agent systems, reinforcement learning, and digital-twin technologies
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package on monitoring and simulation of neighbourhood-level energy performance using aerial thermography and ground-based measurements. Develop ML/AI based building heat transfer and loss, indoor
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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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like MEMS, with minimal computational cost. By developing an advanced reduced order modelling framework, this project will empower engineers and designers to achieve more with less—delivering high-impact
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targeting AMR gene suppression AI-driven genome design: Use LLM tools (e.g. PlasmidGPT, Evo2) to refactor plasmid genomes for enhanced manufacturability, safety, and performance Microbial validation: Test
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fields for 3D reconstruction. This position provides an opportunity to collaborate with scientists from partner institutes around the world. You will also receive specialized training in high-performance
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directly influence the development of high-performance demonstrators that are being developed as part of a larger project focusing on recycled composite materials funded by a UKRI Fellowship. Through this
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integration technologies to create the next generation of smart textile and wearable systems for high performance sports (e.g., running) and rehabilitation applications (e.g., recovery monitoring
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electricity and water to run washing machines. Improving the sustainability of these everyday processes is essential for meeting net-zero targets and reducing environmental impact. High-performance laundry