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to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
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Application Deadline: Applications accepted all year round Details Computational Wind Engineering has been developed rapidly over the last decades. Among the numerical techniques, Large Eddy Simulation (LES) is
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Advanced Control Methods for Flexible Structures
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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to the additive manufacture of an aluminium alloy. Develop melt pool physics simulations of the additive manufacturing process for the industry-based aluminium alloy. Develop computational methods for quantifying
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. You will take an active role in analysing, categorising and documenting the collected data, developing of vulnerability/fragility curves using numerical methods, implementing exposure models, performing
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performance of the materials. A modelling platform will be developed in this project where the effect of various compositions of additives on CFRP properties will be simulated using numerical methods
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computing Numerical simulations Modelling Data analytics Numerical optimisation Fluid dynamics Entry Requirements If you have received a First-class Honours degree, or a 2:1 Honours degree and a Masters, or a
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this project you will develop and test a range of these inhibitory peptides, based on prototypes already developed in the lab. In parallel you will develop a recombinant method of peptide production that will
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flares using the assumption of hydrogen recombination continuum emission, in place of a blackbody estimate. In parallel, but not in collaboration, Pietrow, Cretegnier, Druett et al. (2024) have advanced