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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health
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protection benefits provided by restored saltmarshes. The successful PhD candidate will work with laboratory experiments and develop numerical and AI models capable of supporting coastal management and
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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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and machine learning methodology to help deal with key challenges in developing such models in large-scale observational electronic healthcare record data. These models will be applied to important real
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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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This PhD asks a different question: instead of demanding more data, can we build language models that learn smarter from less? You will design AI architectures that adapt to the structure of a
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships provide funding for fees and stipend at the rate set by the UKRI, as well as other research training...
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Applications are invited for a fully funded PhD studentship in Professor Hansong Ma's laboratory within the School of Biosciences, University of Birmingham. The successful candidate will investigate
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to 20Watts) and very linear with extremely low intermodulation products. This website outlines the technology advantages : www.plasmaris.com This PhD project aims to continue the more than 10 years of research