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at the micrometre scale that can propel themselves through fluids, mimicking natural swimming organisms such as bacteria forms. Using biological building blocks found in cells and encapsulating them inside vesicles
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
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School/Department Computer Science and Mathematics Liverpool John Moores University (LJMU) is a distinctive, unique institution, rooted in the Liverpool City Region and with a global presence. Our
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)ectronic and thermal responses, and (iii) how to tune metasurface properties by engineering frequency, amplitude, fluid environment and solid state. The student will have extensive scope to shape the project
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missions such as search-and-rescue or large-scale surveillance—where environments are unknown, dynamic, and unstructured—robotic swarms must adapt, select appropriate actions, and respond to changing
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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King's College London Department of Engineering | London, England | United Kingdom | about 2 months ago
fuel properties for various geographical regions. A multi-physics model of the fluid dynamic and combustion interaction of fuels based on the effect of moisture, fuel distribution and fuel obstructions