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engineering wake models to mesoscale simulations with wind-farm parametrisation, when predicting wake effects and thus annual energy production. The student will improve current models used by industry such as
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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methodology to simulate representative offshore operating conditions using a purpose-built prototype system, enabling experimental validation under combined electrical, thermal, mechanical, and environmental
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pigmented and non-pigmented silicone elastomers developed within AMFaces. The successful candidate will simulate aging through cellular senescence and ECM modifications, incorporate immune cells to reflect
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discipline. Before you apply, please contact the supervisors with a copy of your CV: Dr Sean Holman and Dr Michael O’Toole: sean.holman@manchester.ac.uk michael.otoole@manchester.ac.uk