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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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. 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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to develop a simple and reproducible cell-based model to investigate how the changes in blood flow associated with pre-eclampsia damage the syncytiotrophoblasts leading to the detrimental release of factors
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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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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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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
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to better understand community perspectives and identify culturally appropriate engagement approaches. Prepare the ethics application and develop participant-facing materials. Contribute to the public
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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