240 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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: Medicines shortages have reached record highs in recent years due to adherence to logistically complex, labour intensive and inefficient batchwise manufacturing. High energy consumption and use of hazardous
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Residential Experience Manager. The successful candidate will be required lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the
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£35,608 - £47,389 per annum. Salary progression beyond this salary range is subject to performance The Estates and Facilities Department at the University of Nottingham provides strategic and
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materials for low-emission ammonia conversion. Perform both experimental investigations and computational simulations of the combustion process. The outcome of this project will demonstrate the feasibility
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning
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high-resolution additive manufacturing, specifically projection micro-stereolithography techniques, and in vitro bone cell culture. With an interest in mechanobiology, you will work at the interface
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Purpose of role: The Biochar Demonstrator is a £4.5M project funded by BBSRC as part of the £30M Greenhouse Gas Removal (GGR) programme. The Demonstrator will address the uncertainties concerning