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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
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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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Collaborations: You will be based at the University of Birmingham and will be co-supervised by the UKAEA’s Tritium Fuel Cycle division (https://ccfe.ukaea.uk/divisions/h3at ). This project will involve multi
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(MTC). It is based within University of Birmingham at the Department of Mechanical Engineering. This is 3-year fully funded studentship is only open to UK home students. The successful applicant will
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Supervision and International Collaborations: You will be based at the University of Birmingham and will be co-supervised by the industrial partner Tokamak Energy Ltd. (https://tokamakenergy.com
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About the project Applications are invited for a 3.5-year funded PhD studentship in Decision Neuroscience, based at the Centre for Human Brain Health at the University of Birmingham, UK (https
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(FCEVs). This research position is available at Birmingham CASE Automotive Research and Education Centre, University of Birmingham. Project Overview: The focus of this Ph.D. research is on advancing
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Join the College of Engineering and Physical Sciences at the University of Birmingham for Groundbreaking PhD Research into photonic systems for atom interferometer sensors! Are you passionate about