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that corrected pseudoranges correspond to physically consistent receiver positions across all satellites. Temporal smoothness: enforcing corrections that are consistent with expected receiver dynamics, such as
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strong upper second-class undergraduate degree in Chemistry, Physics, or a related discipline such as Mathematics or Computer Science, are encouraged to apply. The candidate is expected to have a strong
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allowed computational fluid dynamics (CFD) to flourish, becoming an indispensable for many industries. Simulating the full Navier-Stokes equations is computationally prohibitive for most applications, so
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methods to enable efficient structural simulation of novel aircraft configurations – essential as aviation transitions to alternative fuels. These methods will also expand the role of simulation in
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engineering, or atmospheric science* Expertise in and passion for computational modelling and software development/engineering Expertise in cloud physics or contrails preferred but not required Creative problem
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of Physics & Astronomy and Computer Science, joining an interdisciplinary team bridging spintronics, photonics, and materials science. During your PhD you will gain hands-on experience in: ultrafast laser
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, FIFA, England & Wales Cricket Board, New Balance, Nike, UK Sport, Reebok, Speedo, and others, in the design, simulation, testing, and manufacturing of sporting goods. Our vision is to provide world
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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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pathways, whilst their omission can introduce significant systematic biases in parameter estimation, detection pipelines, and tests of fundamental physics. In this PhD project, you will develop a