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will develop autonomous on-board guidance algorithms for space missions using open-source numerical solvers for convex optimisation developed at the University of Oxford. The focus will be on designing
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vehicles. This offers a fully funded 4 years stipend and tuition fees at the Home status rate at University of Oxford under the supervision of Professor Matthew McGilvray & Dr Luke Doherty. Additionally
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representing curved surfaces with piecewise linear approximations. The error introduced by using FE is particularly limiting when modelling dynamic events, as numerical dispersion and dissipation error of waves
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well as external institutions and organisations, such as the University of Oxford and other industrial partners. For further information about the project or any informal enquiries, please contact: Dr. Tianning Tang
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the behaviour of energetic materials both at the microscopic (i.e. crystal deformation and failure) and macroscopic levels. Numerical techniques for the generation of digital twins and modelling
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was a postdoc researcher at the University of Oxford. In the past years our research group has accumulated critical expertise and laboratory infrastructure to support this PhD. This research will be in