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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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Project summary An exciting opportunity is available to join a multidisciplinary research programme across the laboratories of Dr Salah Mansour, Dr Ali Roghanian and Dr Andres Vallejo
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on software engineering, computational infrastructure, and open-science support, working across multiple work packages. The postholder will play a central role in maintaining and improving the group’s
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Opportunity: This is an exciting opportunity for a motivated researcher or developer to contribute to the design and delivery of IoT-enabled digital twin solutions for sustainable energy
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to achieve this aim and to collectively, and individually, make a real difference. The School of Chemistry & Chemical Engineering invites applications for a full-time postdoctoral research fellow position
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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About the Role The position is funded for 12 months through Dr Carolan’s UKRI Future Leaders Fellowship and offers an exciting opportunity to shape the next generation of sustainable engineering
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, tissue engineering, device and diagnostic technology development, and clinical research. Strong educational support is provided to both undergraduate and postgraduate students and we seek to appoint
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The University of Southampton is a world-leading institution for aircraft noise research, home to the Rolls-Royce University Technology Centre in Gas Turbine Noise at the Institute of Sound and