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Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
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model of the lower airways, multi-omic analyses will provide a key tool to characterise mechanistic changes and assist in predicting the human health impact of the exposure to different air pollutants
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used. For more detailed information about the cookies we use, please see our Cookie policy I Accept Cookies I Do Not Accept Cookies Necessary cookies enable core...
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bioinformatic skills to predict the evolution of rare diseases? FSHD is a rare neuromuscular disorder. No approved treatment is currently available. Slow and variable disease progression complicate trial design
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within fusion reactors, especially plasma-facing materials (PFMs) exposed to intense heat fluxes and energetic particles. Understanding and predicting how these materials degrade under such conditions is
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This position is part of an exciting initiative to decarbonise and automate port operations, specifically focusing on the electrification, automation, and predictive maintenance of tugboats. The successful
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for educational purposes) or other connection to the UK. “Prediction of Mechanical Properties of Extruded Aluminium Profiles Using Machine Learning and Microstructural Insights” BCAST is a specialist research
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, dependent on method choice, are: Can outdoor temperature be used to predict indoor temperature peak events? Can this be reflected in the public weather warning messaging systems? How do social housing
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field