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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
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Numerical simulations of Lattice QCD DoS Dr. Craig McNeile (craig.mcneile@plymouth.ac.uk , tel.: +441752586332) 2nd Supervisor Dr. Vincent Drach ( vincent.drach@plymouth.ac.uk , tel: +441752586335
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Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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an Ahmed body will be used as the baseline. Numerical studies will be performed using commercial CFD software. A correlation between experimental and numerical data will be determined. This project
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framework, and numerical implementation will allow the construction of a faithful ‘digital-twin’ of these alloy-oxide systems for wide applicability in surface science applications; though initially focussing
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impacted by sewage release and is associated with significant flooding events. The student will combine experimental methods with metagenomics and bioinformatics to profile the threats associated with
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clinical or environmental sample we can rapidly identify all organisms present including novel strains and newly emerged pathogens. Currently such methods are only available in specialist laboratories, each
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should complete the University’s Apply to Newcastle Portal - https://applyto.newcastle.ac.uk/ . Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of