23 postdoctoral-soil-structure-interaction-fem-dynamics PhD positions at University of Nottingham
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Dynamics (CFD). This is an exciting opportunity to contribute to cutting-edge research that supports the next generation of sustainable aeroengines. The successful candidate will join a supportive team of
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dynamic environments, including narrow spaces and interactions with unfamiliar objects. This project aligns with Rolls-Royce’s technical needs for developing soft robotic solutions to enable in-situ/on-wing
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immunobiology), and OrbiSMS (spatial glycosaminoglycan profiling), you will map the relationship of immune subsets, signalling pathways, and extracellular matrix interactions and identify novel interactions and
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nanometre-sized optical structures for intelligent manipulation of light. They require only simplistic (microelectronics-compatible) fabrication processes, and have the potential to replace previous optical
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in both technical and potentially non-technical skills of medical staff, such as poor team dynamics, problems with communication and a lack of leadership. This automated obtained data can then be fed
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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. Hydrogen permeation barrier coatings for nuclear fusion and hydrogen energy applications. Using cutting-edge thin-film deposition and advanced microscopy, you will explore how nanoscale structures can
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for nuclear fusion and hydrogen energy applications. Using cutting-edge thin-film deposition and advanced microscopy, you will explore how nanoscale structures can transform performance in real-world
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the “Dialling up Performance for on Demand Manufacturing” Programme Grant, which will place the student within an active and supportive team of 9 other PhD students, 15 postdoctoral researchers, 18 world-leading
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application