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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
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to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will have, or be close to completing, a PhD in
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researchers to join a dynamic team working on an EPSRC-funded project, focused on both catalytic ammonia combustion and optimal design of innovative catalytic burners for real-world industry applications. As a
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into that framework, and to take advantage of these tools to produce optimal designs. Applicants should have skills in modelling, familiarity with partial differential equations, and be familiar with python. They will
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programme of research and knowledge exchange to develop and optimize new testing regimes for flood resilience products, enable PFR needs to be aligned with exposure to flood risk and formulate an evidence
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programme of research and knowledge exchange to develop and optimize new testing regimes for flood resilience products, enable PFR needs to be aligned with exposure to flood risk and formulate an evidence
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optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring that the coatings maintain their structural
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innovation-oriented, to help us drive the gradual development of these technologies toward real-world applications. This involves engineering experimental hardware for cell culturing workflows, optimizing
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Postdoctoral Research Associate in Non-Terrestrial Networks and Edge Computing ( Job Number: 25000480) Department of Engineering Grade 7: - £38,249 - £39,355 per annum Fixed Term - Full Time