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of a model-based digital twin to be applied to cryogenic liquid propulsion systems and their main components using innovative techniques such as chemical reactor networks or surrogate models for machine
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), latch-ups, and the total ionising dose on spiking neural network performance. develop and test fault mitigation strategies, such as spike-based redundancy, reconfigurable neural routing, noise-aware
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of research and quickly assess their potential with respect to other domains and applications (rapid prototyping). Academic networking to add functioning links to universities and research institutes. Ability
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research Ability to contextualise specialised areas of research and quickly assess their potential with respect to other domains and applications Academic networking skills to create active links with
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs