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details This is an outstanding development opportunity for a talented individual who wishes to conduct research on children and young people with life limiting conditions and their families. Previous
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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an Ahmed body will be used as the baseline. Numerical studies will be performed using commercial CFD software. A correlation between experimental and numerical data will be determined. This project
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trials A key outcome will be recommendations on generally applicable operating characteristics for clinical trials in rare diseases, enabling researchers and funders to understand when trials are feasible
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simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour
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Summary The University of Exeter’s Centre for Metamaterials Research and Innovation (CMRI) with UK Government partner Dstl, is inviting applications for a fully funded PhD studentship. The stipend
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by 2050, creating a significant environmental challenge. This research aims to develop a sustainable engineering solution for reusing decommissioned blade in structural engineering. Structural
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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early