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environmentally restorative farming system. This PhD position is funded and supported by a collaborative agreement between Hutchinsons and the charity LEAF (Linking Environment And Farming). Both organisations have
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Electric motors and the systems they drive consume half of global electricity. These systems are typically very inefficient and contribute to a significant amount of energy wasted. By physically integrating power electronic converters and electrical machines we can use common structures and...
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Primary Supervisor: Prof. Mark Blyth Inviscid liquid jets subject to surface tension and in the absence of gravity are known to be unstable under long-wave perturbations, a phenomenon described by the classical Rayleigh–Plateau instability. However, when vorticity and swirl are included, Erhard...
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Application deadline: All year round This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here
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From electric vehicles to grid-scale energy storage, the future of clean energy relies on breakthroughs in battery technology. This PhD will develop cutting-edge terahertz spectroscopy methods
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assistant positions that combine a PhD programme with a university teaching contract. Your time will be split approximately 60% on research and 40% on teaching. This provides excellent preparation
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technologies is therefore essential to support a sustainable and resilient battery supply chain. This PhD project, in the Energy Materials Group, at the University of Birmingham, will investigate advanced direct
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supervisor and apply via the MRC GW4 BioMed link given below. This PhD project will involve mapping mental health service provision for children and young people with disruptive behaviour disorders such as
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Can AI learn to reason like a human - and recognise when it isn’t sure? This PhD tackles that challenge in a high-impact setting: interpreting 3D digital models of rock formations built from drone
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compromised UAV may send poisoned model updates that corrupt the shared intelligence of the swarm. This PhD will develop lightweight, trust-aware methods to make FL models safer for UAV swarms. The successful