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Field
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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FRCs. You will receive training in instrumental techniques, including stable isotope analysis using specialised equipment within the UEA Science Analytical Facilities, as well as high-throughput
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Earthquake Engineering and examines the dynamic and liquefaction behavior of Icelandic basalt sand, using laboratory test methods and advanced numerical techniques. The project is funded for three years by
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perform a risk analysis of the resulting model outputs Present your scientific results at conferences, workshops, and seminars, and publish the work in peer‑reviewed journals Collaborate with project
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mechanical analysis techniques Conducting literature reviews and evaluating the current state of research Independent development and validation of experimental concepts Preparation and dissemination
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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of machine learning, numerical analysis, optimisation, or related fields. Funding notes: Funding is available through the School of Mathematics for a suitably strong candidate. The scholarship will cover
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and quantitative sustainability assessment methods, including Life Cycle Assessment (LCA), Energy System Analysis (ESA), and socio-economic modeling. The candidate will be expected to contribute
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) transmission electron microscopy (TEM/STEM), nanoindentation, and complementary microstructural and mechanical analysis methods Comparative evaluation of innovative materials with reference materials Literature
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identify characteristics and determine new descriptors. Their relevance for match analysis and tactical decision-making will be assessed in collaboration with professionals. Profile We are looking