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interface circuits for non-invasive sensing. In your role, you will develop large-area demonstrators of high-performance flexible and printed circuits, fabricated using novel in-house instruments. Your
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. The study will include a detailed evaluation of geometric and material parameters influencing charging and discharging performance to identify configurations that maximise energy efficiency and heat-transfer
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to the EMBRACE programme Proven excellent written and spoken communication skills, translating scientific concepts and findings into understandable presentations and written reports High level of work organisation
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-in-cell computer codes hosted on local and national high-performance computing clusters; establishing all-optical diagnostics to map temperature evolution in plasma accelerators; exploring novel inter
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supplier performance. Contribute directly to the university’s digital transformation programme and the delivery of innovative IT solutions. To be successful, you will be an experienced procurement
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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for producing top-quality publications and to progress wireless wearables research demonstrators into products and spin-outs. In your role, you will develop large-area demonstrators of high-performance flexible
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difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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ensure the smooth and effective operation of academic programmes, providing high-level administrative support to academic Faculties. Maintaining programme-specific knowledge relevant to student and