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Dobson Professorship of Materials Science and Metallurgy The Board of Electors to the Dobson Professorship of Materials Science and Metallurgy invite applications for this Professorship from persons
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The School of Computing and Engineering is a professional and student focused School with high quality teaching, student experience and research informed teaching at the top of its priority list. The School
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mental health provision, including our specialist Mental Health and Wellbeing Practitioner training programme delivered in partnership with NHS England and local NHS Trusts. We particularly welcome
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We are looking for a highly skilled and motivated individual with, near completion of, a PhD degree in Mechanical/ Electronic/ Robotic Engineering or related discipline who will develop novel
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to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics or a
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to current students. For more information on Faculty of Science and Engineering please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For an informal discussion to find out more
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for. Within this post you will be contributing to an exciting programme of research in heart failure care, with the opportunity to enhance your skill set and develop you CV. The successful candidate will be
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visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa. As a valued member of our team, you can expect: 1 A warm welcoming and engaging organisational culture, where your
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Prof./Associate Prof./Assistant Prof. in AI/Robotics for Aircraft Maintenance / Low-Altitude Economy
Professor / Associate Professor / Assistant Professor in AI/Robotics for Aircraft Maintenance / Low-Altitude Economy / Satellite and Space Engineering under Strategic Hiring Scheme (two posts) (Ref
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the computational neuroimaging group (https://conilab.nottingham.ac.uk ). The team have an established track record in developing computational neuroimaging technologies for mapping the brain at a