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(SONATA, EP/V028626/1) and brings together expertise in microfluidics, fluid dynamics, nanoparticle engineering, and dental microbiology. Approach and Methods: Engineer in vitro models of bacterial biofilm
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, multidisciplinary research environment combining experimental surface physics, nanotechnology, and fluid dynamics. In return, we are looking for a candidate who has: A suitable academic background in physics
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modelling and behavioural science. The first part will be based on the use of Computational Fluid Dynamics (CFD) to diagnose the air quality of indoor spaces where people live and work (presence of pollutants
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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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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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model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
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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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compatibility with traditional composite matrices. Explore complementary computational fluid dynamics-discrete element method (CFD-DEM) simulations as a tool to predict fibre-fluid interactions and inform
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King's College London Department of Engineering | London, England | United Kingdom | about 1 month 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
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics