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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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research is required before rapid testing can become a commercial reality. There is a need to develop accurate and robust portable testing methods that are capable of providing rapid analysis for PFAS in
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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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is to address these challenges by developing innovative integrated chassis controllers and processes that seamlessly coordinate multiple actuators from the outset. The research will explore model-based
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is to address these challenges by developing innovative integrated chassis controllers and processes that seamlessly coordinate multiple actuators from the outset. The research will explore advanced AI
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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