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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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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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development of high strength aluminium alloys designed to provide better performance compared with existing alloys. The properties of this alloy depend on careful control of the microstructure, in particular
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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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The studentship is with University of Salford and APOS Academic Supervisor: Prof Richard Jones Academic Co-Supervisor: Dr Carina Price Industrial Supervisors: Ganit Segal The studentship is fully
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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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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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formulation, which displays striking similarities to that used by the Computational Fluid Dynamics (CFD) community, has inspired the investigators to adopt conventional CFD algorithms in the novel context