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) charging of the states occurs at a rate that is much faster than could be achieved if all the states were not coupled, but were charged in parallel. There is intense excitement in such a technology, as it
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members of the team (supervisors, students and postdocs), and collaborators outside the University. Critical analysis of experimental results and problem-solving skills are essential to this job. IGNITE is
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the project, making sure the two parts run smoothly in parallel. Preparation of manuscripts for publication in reviewed journals, on the basis of the research results obtained. Communication of research results
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senior postdoc to characterise the epigenomic landscape at time points when the immediate (innate) immune response has subsided, but the immune memory persists. Integrating these data with resistance
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Computational Spectroscopy/Hydrogen-tunneling at elevated temperatures in the gas-phase School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances
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PhD Studentships to support doctoral research in the Arthur Scargill Archive at the University of Sheffield Faculty of Arts and Humanities 4 Year PhD Programme Funding Available UK Students View
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AI-assisted grading of end-of-life wind turbine composite materials for a circular economy
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Overview Research and Innovation IT has become crucially important across the full spectrum of research activity at the University of Sheffield. In addition to traditional compute-intensive HPC