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Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive Manufacturing research group (CfAM) at the University of Nottingham. The student will work in
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The PhD is funded by a NWSSDTP CASE studentship and is open to Home (UK) students only. This interdisciplinary project investigates the health and environmental impacts of outdoor advertising, with
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NPL, the UK’s national metrology institute, is developing a fully functioning, thoroughly characterised, local area quantum network (QLAN) linking heterogeneous nodes across its site. It will make this testbed available to users for testing hardware and applications. NPL will lead on the testing...
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The overarching aim of the project is to understand how early neurodevelopmental risk factors disrupt brain maturation and contribute to psychosis vulnerability across development. This PhD project
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The project will work alongside Vishay Intertechnology, which brings together a number of world leaders in power semiconductors and energy conversion to develop solutions for automotive, aerospace, industrial and grid-level power electronics. The purpose is to improve the electric vehicles and...
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Deadline: 24.08.2025 Number of positions: 1 For UK students only This 3.5 year PhD project is fully funded for home students only. The successful candidate will receive a tax-free stipend set at
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
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The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
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a full-time PhD position.
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems