40 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at University of Birmingham
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- or part-time research programme. This includes current doctoral researchers in the College of Arts and Law. The funding will be available from September 2026. One scholarship is available offering
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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.
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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.
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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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interactions into account with data-driven method. This research is inherently multidisciplinary, lying at the interface of fluid and solid mechanics, acoustics, and computing science. It will potentially
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the group of computational aerodynamics and aeroacoustics (CA^2) led by Dr Zhong-Nan Wang at the University of Birmingham. The CA^2 research group focuses on developing high-fidelity Computational Fluid
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facility where power-plant relevant plasma fluxes and heat loads can be applied to PFC components. You will address this issue by building upon existing Birmingham-Julich research programmes and using
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validation in representative environments. The successful candidate will gain expertise in electrochemical sensing, microengineering, and computational modelling, and will join an interdisciplinary research
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2D materials, searching for exotic quantum functionalities to form new sustainable electronics and new types of computing. Tuning nanostructures of these materials with extreme pressure will unlock
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within these data sets and determine if such surveillance programs can provide genomic epidemiological data. This project will suit anyone with a microbiology or computer science background and full