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record in metamaterials, nanofabrication, or functional materials, and the ability to design, optimise, and troubleshoot fabrication workflows from concept to device demonstration. Experience working in
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breeding optimisation through design, and tritium separation technologies, among other aspects. This is performed using our state-of-the-art facilities at the University of Manchester, and with our National
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of Oxford. The post is funded by United Kingdom Research and Innovation (UKRI) as part of the ACORN IAA and is for 12 months. The researcher will develop visual mapping and change detection algorithms
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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by ATi/Innovate UK and Rolls Royce and is fixed-term to October 2029. You will join a world‑leading programme advancing experimental and numerical methods for predicting the performance of 3D woven
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of their postdoctoral fellowship. Work with Prof Kapila on to identify key sources for digital humanities research and to design and manage the public platform for the project as required. Work closely and
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record data to aid the design of future research Take responsibility for self-development and on the job learning; keeping abreast of developments in techniques and technology. As a member of staff you
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. This will involve various practical tasks to install design and install the station. There is significant freedom to develop and then test future turbulence mitigation or characterisation techniques using
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specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
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Cancer Research UK strategic programme investigating how colorectal cancer responds to therapy through the integration of spatial biology, computational analysis and clinical research. Working across