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. Recent methodological advances have enabled the development and validation of plasma biomarkers that are expected to simplify AD diagnosis. The quality and quantity of sleep, which is significantly
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programme will be delivered through a mixture of tutorials, workshops, web-based training resources, networking events and peer-led activities. This will equip fellows with unique considerations
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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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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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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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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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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