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an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is funded by NIHR as part of a Health Protection Unit in
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in the USA. The main project for the student will be the computation of the properties of hadrons using lattice QCD and high performance computers. The PhD student will further investigate the use
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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
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deliver world class turbine testing at TRL 6 level in the Whittle Laboratory's new National Centre for Propulsion and Power. This will require you to create and execute engineering design, computational
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, with a background in Engineering, Mathematics or a related discipline. Depending on experience and academic background, successful candidates should have experience in one or more of the following
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evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
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background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students
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+4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years part
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postgraduate degree in computer science, human factors, psychology, social science or a health or social care related subject. Funding notes: This PhD scholarship is available for home students only
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The PhD research project is an EPRSC Industrial Cooperative Awards in Science and Engineering (ICASE) with Constellium, a global leader in the development, manufacturing, and recycling of aluminium