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in the UK, and compare this to pathogen specific surveillance programs to determine the full extent to which metagenomic surveillance programs can give us genomic epidemiological level data
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. Knowledge of fluid mechanics or CFD is essential. Experience in programming (Fortran/C++/Python) and knowledge of acoustics and solid mechanics would be desirable. To apply, please provide a cover letter
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. You will gain experience in laboratory skills, hands-on design and manufacture of components, advanced data analysis and programming skills. You will work as part of a cohesive friendly team and as a
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. Experience in programming (Fortran/C++/Python) would be an advantage. Funding Details Stipend of £20,780 + Tuition fee + funding for training and conferences
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adhesives and resins. This PhD will use robotics and smart machine to intelligently plan and undertake pre-cutting and partial disassembly of electric motors to expose the valuable magnet material to allow
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k Si3N4 and then the additive manufacturing of the components with the aim of achieving complex geometries with the enhanced ceramic. Funding notes: This PhD programme will be hosted in the School
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benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance radars specially modified
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radar systems. Finally, it will benefit from world-leading infrastructure uniquely suited to support the programme, i.e. a fully operational network of Commercial-off-the-Shelf (COTS) primary surveillance
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utilise the University of Birmingham’s smart campus building data in order to develop a template for such an assessment. In parallel, working the Met Office and their forecasting team, the project will
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Programme (DTP), offering one home and one overseas 3.5-year studentship covering full tuition fees and a standard UKRI stipend. For further details of how to apply, please click on the 'Apply' button above.