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prototype (MIDAS) that integrates AI-based modules with optimisation engines to support low-carbon, cost-optimal datacentre microgrid design. To manage prototyping of the software platform - overseeing build
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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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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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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