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A track record of curating a Public Programme Start date: October 2025 Mode: Full-time, funded Location: City Campus (Gloucester) Please send a brief CV and covering letter by email outlining your
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relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
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Reference: SATM591 Eligibility: UK, EU, and international applicants How to apply For further information please contact: Name: Professor Mark Jolly Email: m.r.jolly@cranfield.ac.uk Phone: +44-(0)1234 758466
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/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
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” links at the bottom of the LSE Jobs page. For queries about the role, email gri.hr@lse.ac.uk . The closing date for receipt of applications is Monday 11 August 2025 (23.59 UK time). Regrettably, we are
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Middleton, Astronomy Research Group, Email: m.j.middleton@soton.ac.uk . Entry Requirements A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Applications
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collection activities. Supervision will be provided by academics from various disciplines specializing in biomechanics, image processing, and computer vision, alongside orthopaedic surgeons and academics.
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emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision
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to apply For further information please contact: Name: Dr Francesco Fanicchia Email: Francesco.fanicchia@cranfield.ac.uk If you are eligible to apply for this studentship, please complete
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. We welcome applications from UK, Europe and from across the globe. Please contact Dr Anna Bloxam via email anna.bloxam@nottingham.ac.uk for further information regarding this post. Please note that