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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
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methodological development. Be comfortable with Python or similar programming languages (e.g., for use with the Brightways LCA modelling software). Enjoy thinking creatively to find unconventional solutions
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discipline will include: becoming familiar with PA/QA practices, methodologies and disciplines (PA/QA, RAMS (reliability, availability, maintainability and safety), software PA, EEE components, and materials