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the role and make it their own. If you think that this might be the role for you, please write and tell us why. If you have any informal enquiries, please feel free to contact Dr Amy Orben: amy.orben@mrc
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and quantum sensing. We are part of Finland’s major national quantum initiatives, including the InstituteQ and the Finnish Quantum Flagship (FQF) , and benefit from access to world-class experimental
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inclusion and encourages applications from all sections of society. The Faculty of Engineering provides a thriving working environment for all PGRs creating a strong sense of community across research
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of society. The Faculty of Engineering provides a thriving working environment for all PGRs creating a strong sense of community across research disciplines. Community and research culture is important to our
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language. Motivation, flexibility, sense of responsibility, ability to listen and compromise, autonomy, and problem-solving skills. Ability to work with a small cutting edge commercial/academic technology
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want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and
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environment for all PGRs creating a strong sense of community across research disciplines. Community and research culture is important to our PGRs and the FoE support this by working closely with our
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career, and you feel it relevant, let us know about it in your application. If you are a candidate with a disability, we are committed to ensuring fair treatment throughout the recruitment process. We
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and quantum sensing. We are part of Finland’s major national quantum initiatives, including the InstituteQ and the Finnish Quantum Flagship (FQF) , and benefit from access to world-class experimental
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights