294 parallel-and-distributed-computing-"Multiple" positions at University of Sheffield
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Overview An exciting opportunity for a research associate exists within the Multiscale Materials Informatics and Innovation (M2i2) research group, led by Prof. Hector Basoalto, at the University
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and impacts of UK and Northwestern Europe's atmospheric circulation processes. The results of these models will be compared with parallel experiments carried out using Global Climate Models by the other
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particularly welcome proposals that look to data-mine multiple language sources as a core to the research method. The successful candidate will have academic experience in applying digital methodologies
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including
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, particularly in computational physics (coding), applied mathematics, and independent experimental design. Access to opportunities to build optional, self-directed experience in these areas before university
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collaboration experience. Main duties and responsibilities Develop findable, accessible, interoperable, and reusable (FAIR) AI / machine learning software, tools, and workflows to support multiple exploratory
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complex, involving multiple partners, working on innovative technology to provide practical solutions to industrial problems. As a member of the multi-functional project team, you will contribute
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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. (2020) Epithelial–mesenchymal plasticity: emerging parallels between tissue morphogenesis and cancer metastasis. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 375, No. 1809
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-readiness and translational cancer research We welcome candidates from diverse academic and professional backgrounds including health sciences, data science, biomedical informatics, and computational fields