710 engineering-computation "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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field. This approach is related to data assimilation, allowing for better prediction, control, and optimisation of turbulent systems in engineering, energy, and environmental applications
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Advanced Carbon Fibre Composites using Next-Generation Additive Manufacturing (CFAM) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Patrick Fairclough
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this highly interdisciplinary team, comprising engineering and medical academics, including device design engineers from Sheffield’s world-leading Advanced Manufacturing Research Centre (https
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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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BBSRC Yorkshire Bioscience DLA Programme: Developing cyanobacteria for enhanced light-driven biotechnology (CASE Project) School of Biosciences PhD Research Project Competition Funded Students
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Overview Are you passionate about shaping the future of manufacturing through cutting-edge research and innovation? As a Lead Manufacturing Research Engineer at the Advanced Manufacturing Research
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BBSRC Yorkshire Bioscience DLA Programme: The needle in the haystack - single molecule detection of extracellular vesicles in complex biological contexts School of Mathematical and Physical Sciences
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careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper
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molecular detail. You will use a combination of structural computational/artificial intelligence approaches, protein biochemistry and single-molecule techniques, such as optical tweezer assays and single
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will also be considered. References Korsós et al., ApJL 802 L21 (2015) https://iopscience.iop.org/article/10.1088/2041-8205/802/2/L21 Korsós, Chatterjee, Erdélyi, ApJ 857 103 (2018) https