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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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The decarbonisation of heat demand, for the domestic sector in the UK, is expected to require significant deployment of air source heat pumps (ASHP), and heat networks (other technologies being minor contributors to decarbonisation). For air source heat pumps, in particular, the UK Government...
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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Award duration: 4 years Food processing currently relies heavily on the combustion of natural gas to provide process and space heating. Until recently, natural gas was considered the preferred fuel for heating due its lower unit cost and greenhouse gas emissions compared to alternative fossil...
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staff and more than 6 PhD students. See https://www.nottingham.ac.uk/mathematics/research/mathematical-neuroscience.aspx for further information. The positive research environment fostered by the School
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at Faculty of Engineering. Vision We are seeking PhD student that is interested in high pressure reactor systems that can be used to produce high value molecules from lignin rich wastewaters that arise from
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, curious individual to join an exciting PhD. This opportunity is generously funded by John Crane Ltd, a world-renowned engineering technology leader. Why This PhD? Impact Clean Energy's Future: Develop next
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PhD studentship associated with a Collaborative Partnership between RNCM and Olympias Music Foundation (www.olympiasmusicfoundation.com ) The RNCM and Olympias Music Foundation are delighted
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(nathan.einbinder@plymouth.ac.uk ) Applications are invited for a four-year PhD studentship and will start, 1st January 2026. The project is funded from Centre of Research excellence in Intelligent and Sustainable