15 parallel-and-distributed-computing-"DIFFER" PhD positions at The University of Manchester
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Boltzmann method simplifies the numerical treatment of fluid flows by evolving particle distribution functions across straight lines on a computational grid, rather than evolving the trajectories of the flow
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different membrane nanostructures could be correlated to antimicrobial efficacy and mildness or cytotoxicity. The project teams are developing new capabilities, highlighted by combining neutron reflection and
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or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom
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collaboration with Innospec, aims to investigate how different catalysts influence CNT growth, structure, and performance. Specifically, the study will compare different CNT catalysts, evaluating their impact on
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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. This limits our ability to design next-generation insulation materials for higher voltage applications across different sectors. A fundamental reason for the stalled progress in electrical treeing research is
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-generation 6G wireless networks. Cell-free massive MIMO represents a significant advancement in wireless communications, where a large number of distributed access points cooperate to serve users without
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well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different
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to specified rules. A striking fact is that these systems can share common behaviour even when the local rules governing their dynamics are significantly different. This is an example of universality
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing