195 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at University of Nottingham
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simulation, composites manufacturing and advanced sensing techniques. The project will provide opportunities to develop skills in these areas and contribute to the development of the next generation composite
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Mary University of London, University of Nottingham and University of Glasgow who work on the development of energy efficient, atomically thin semiconductors to dramatically reduce the electricity demand
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Admissions, Development and Alumni Relations, and Global Partnership. Reporting to the Chief Operating Officer (COO) you will play a pivotal role in shaping how the University is seen, heard and understood
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day-to-day oversight, allocate work, support development, and ensure service standards are met, escalating resourcing or performance issues where appropriate. You will contribute to team workload
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centred on the development and application of wearable Magnetoencephalography (MEG) using Optically Pumped Magnetometers (OPMs). The successful applicant will join established teams of world leading
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efficiency, consistency and patient outcomes; they also introduce new cognitive demands, risks, and accountability challenges. This project aims to contribute to the development of human-centred, safe, and
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coupling. This PhD project focuses on the development of next-generation high power density EMS, to unlock a more compact and efficient energy ecosystem, where EVs do not just consume power, they help drive
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to academic colleagues from bid development through to project delivery and close‑out. You will oversee project finances and resources, ensure compliance with University and funder requirements, support audits
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activity across a range of research projects and related areas · provide specialist support advice and guidance on operational processes and activities · contribute to the development and continuous
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functional theory. In collaboration with Phasecraft, a leading quantum algorithms company, this project will explore the generation of new quantum computing datasets and the development of machine learning