670 proof-checking-postdoc-computer-science-logic positions at University of Sheffield
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problems. Working with senior colleagues to plan workload and resources to fit project timescales. Research into novel technology to advance knowledge, evaluate new techniques, and to solve specific problems
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of Sheffield. The successful candidates will take forward methodological research in the physics and engineering of magnetic resonance imaging for hyperpolarised 129Xe, and will be based in the POLARIS group
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data science, computer programming, simulation modelling, ecological theory and climate science, with the potential for fieldwork or ecological experiments in Australia. We welcome applications from
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Next generation modelling for the pharmaceutical industry
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to establish a research portfolio and technology roadmap around the remit of the development of AM processes, materials, AM process simulations, online/offline process monitoring and control tools as
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any relevant area of Earthquake Engineering and should have a strong knowledge of probabilistic seismic hazard, vulnerability and risk assessment methods. The Research Associate will join an
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Fuel Cell and Hydrogen Technology School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Prof Lin Ma, Prof Derek Ingham, Dr Kevin
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phenotyping: You will use remote sensing technology to monitor plant stress use microscopy to visualise root interactions with soil fungi. Computational skills: You will receive training in advanced statistical
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Novel Nanoswimmers - exploring novel routes to propulsion at the nanoscale. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse, Dr Stephen
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more understanding of the fundamental behaviour of these materials which is where computer simulation can provide many of the answers. The project will involve studying the defect chemistry of niobate