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membership and/or the outcomes of interest. This PhD studentship is funded as part of the Re-thinking Health Policy in Multimorbidity (REMIT) project. The REMIT project aims to develop new methods to assess
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-performance computing (HPC) facilities and finite element codes. Project findings could have a notable impact on the deployment of green hydrogen infrastructure, as needed to achieve net-zero carbon ambitions
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of wind tunnel components in elite motorsport. This interdisciplinary project will develop a data-driven approach to understand and predict how process settings, build orientation, machine variability, and
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would work as part of a dynamic team working to enable truly sustainable aviation at the Brahmal Vasudevan Institute for Sustainable Aviation The opportunity to continue your career at a world-leading
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difference and/or finite element coupled process models validated against laboratory data to understand the fundamental behaviour of EK-ISL under varying geological conditions, including heterogeneity, dual
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catalysis. As part of this project, you will synthesise planar Sb and Bi pincer complexes, investigate their element-specific reactivity, and contribute to the design of transition metal-free catalytic cycles
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inclusion. We are committed to attracting talented students from a wide range of backgrounds and providing the support they need to thrive throughout their PhD journey. As part of this commitment, at least
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Methods The stratified atmospheric boundary layer is a key component in high-impact weather and climate predictions. Forecast applications include: polar surface temperatures, the timing of thunderstorms
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of components in the system, which are accelerated through the aging of the infrastructure; climate change, due to changing weather conditions and environmental factors impacting on the system; and deliberate
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are utilised in the computation. You will be part of the Nektar++ group and will be contributing towards the development of this advanced C++ software framework. The PhD will provide you with training and