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. The successful candidate will be supervised by an experienced and interdisciplinary supervisory team from two schools at the University of Birmingham (School of Geography, Earth and Environmental Sciences, and
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation
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Applicants are invited to apply for a fully funded PhD position (UK home fees only) at the School of Biosciences, University of Birmingham to work on a project funded by an ERC advanced grant
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation
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Background: The UK and the World are rapidly shifting towards multi-energy systems, such as districts and industrial parks with large amounts of renewable electricity, renewable heating & cooling
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will be based at the University of Birmingham, where the successful candidate will work with people within the Schools of both Physics and Engineering. The successful applicant will be embedded in
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thermal energy engineering and prior experience in combining computational and experimental work would be welcomed. Funding notes This project is funded by the University of Birmingham and is only open to
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modelling tools and machine learning methods. The project brings together world-leading experts in both academia and industry, across fields including superalloy metallurgy, microstructure characterisation