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Fixed-term: The funds for this post are available for 2 years in the first instance. Applications are invited for a Research Assistant/Associate to work on the intersection of geometry, topology and
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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quantum systems with exact integrability, Apply these ideas in contexts ranging from holography to resurgent quantum field theory. The project lies at the intersection of geometry, algebra, and quantum
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to focus on the relationship between geometry and quantum theory. A key objective will be the conceptual and mathematical understanding of the original Penrose spin network, with a view toward foundational
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for next-generation gas turbines. These geometries pose manufacturing challenges, particularly regarding heat transfer, microstructure evolution, and defect prevention. Building on recent doctoral research
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parameters, underlying material geometry and process environment). • Integrating process-dependent transferred arc energy distributions into an improved heat source model for FEA simulations. • Creating an FEA
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simulations, covering a range of typical part geometries and deposition strategies, complemented by experimental validation. • Developing an efficient method for converting partial surface temperature data
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effective flow control strategies Develop ML models to predict complex flows in porous media configurations Design optimised porous media geometries for enhanced mixing efficiency. Training opportunities
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conductive material. A magnetic induction spectrum is sensitive to the location and geometry of conductive material around a magnetic field source and receiver. Hybrid tomography involves the fusion of two
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their entire life cycle due to the variations arising from geometry, material properties and loads during the long-term operation. This leads to a growing need in model identification, calibration, and