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Field
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, the adoption of AI in project management remains in the nascent stages. This PhD project will critically investigate how AI is shaping the management of projects and project studies. It aims to generate new
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, nature, causes and impacts of elder abuse (the last ONS-led national survey was in 2006). This PhD studentship aims to create a step-change in understanding the nature and scale of this abuse, by: 1. Co
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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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Using capturing carbon dioxide and clean hydrogen is essential for a sustainable future in energy and chemical production. However, the transition is hindered by a lack of efficient, affordable catalysts. This EPSRC-funded project leverages cutting-edge X-ray spectroscopy to unlock how alkali...
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in peak flows continue to occur once surface storage is full, potentially due to their unique vegetation and micro-topography. This PhD will address research gaps in quantifying how much peatland
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This fully funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA) and RES Group, offers a bursary of £25,000 per annum, covering full tuition fees. The project focuses
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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
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PhD project: 3D-Printing Devices with Responsive Structural Colour Applications are invited for a PhD project within the University of Nottingham’s Faculty of Engineering, in the Centre for Additive
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3-year PhD studentship: Scaling-Up Functional 3D Printing of Devices and Structures Supervisors: Professor Richard Hague1 , Professor Chris Tuck1 , Dr Geoffrey Rivers1 (1 Faculty of Engineering) PhD
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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...