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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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at the University of Nottingham. We are seeking applications to join our multidisciplinary team of currently 8 academics, 7 research fellows, and 15 PhD students investigating novel multinary Reactive Hydride
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A Human-Factors Investigation of Automation, Decision-Support and Machine Learning in Clinical Decision-Making Tasks. This PhD project is based within the Human Factors Research Group in the Faculty
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related to this (for example the significant ankle ligament injury study). This PhD may use or expand on some aspects of these studies. PhD description: The project could use different methods to address
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creation of future-ready schools that protect children’s wellbeing while contributing to national net-zero and climate adaptation goals. Motivation This project is aimed at a highly motivated PhD student
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(School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall
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Applications are invited for a PhD project within the University of Nottingham’s world-leading Centre for Additive Manufacturing research group (CfAM, Faculty of Engineering). Vision and motivation
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of disasters? Do you have a PhD research proposal related to this topic, or can you develop one this month? If the answer is yes to these questions, then this PhD funding opportunity for the programme of
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, maintenance, and operation of engineering systems in order to reduce the frequency and consequences of failure. Vision We are seeking a PhD student who is motivated to rethink how manufacturing systems
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autonomous systems with applications spanning aerospace, nuclear engineering, and embodied intelligence. Vision We are seeking a PhD student who is highly motivated to work at the interface of reinforcement