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Although the development of systems architectures and models has been an established practice for many years, the assessment of the quality of models has relied on expert judgement with
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The objective of this research is to develop high energy storage technology for e-textiles and wearable sensors. Currently e-textiles is a growing area of interest, enabling smart sensors for medical, sports
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with a view to creating a timeline of microstructural evolution throughout the components’ lives. To achieve this, microstructural features of new and used bars will be compared through a detailed
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there is an extensive body of work on demand forecasting for railway stations and services. This PhD project will therefore aim to develop a set of transferable and user-friendly demand models for bus stops
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with stakeholders to develop an understanding of the barriers and facilitators to successful hospital admission or transfer. The project will be supervised by Professor Peter Langdon. The Studentship
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structure and function in the developing brain. This inability to accurately predict those infants who will go on to develop problems makes it extremely challenging to focus resources on those infants who
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healthcare need and despite significant research, new treatments are urgently needed. Animal models are commonly used to study the development of these diseases and test novel treatments, but they often fail
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experimental methods to improve them, alongside developing new approaches to enhance these properties. External environmental factors, such as humidity, pressure, and temperature, will also be key variables
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Supervisors: Prof. Julie Staunton, Dr Albert Bartok-Partay Rare earth materials are in increasing demand making good modelling of their electrons important for further development. The elements have
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented