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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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BRC PhD: Improving recovery from pneumonia after hospitalisation Applications are invited from UK students for a three-year PhD studentship funded by the NIHR Nottingham Biomedical Research Centre
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Discover your career The world of the University of Nottingham is defined by our people and the values we share. Our environment is an ambitious vision brought to life across vibrant and forward-thinking global campuses. An ever changing world where open minds and diverse cultures are able to...
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that present significant problems for data reduction and analysis. This PhD project, in close collaboration with researchers at ISIS Neutron and Muon Source and University of Nottingham, will address this by
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The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world-transforming
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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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literature and experimental data generated by the Agile Flow Boiling Facility at the Nuclear Skills Academy in Derby, if available. This is a fully-funded 3.5-years PhD studentship. The research will be
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PhD funding opportunity Do you have an Architectural Degree and are interested in the sustainable intervention of built heritage at risk? Are you curious about how digital recording technologies can
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We are inviting applications for a fully funded PhD place, which will be supervised by Dr Joanne Cormac of the University of Nottingham's Music Department, for three years, starting on 1 October
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In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between human chemists and