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this position, you will have: PhD degree in relevant field Demonstrated knowledge of structural analysis of alloy components, Finite Element Modelling (FEM) and preferably morphology/topology optimisation
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of modern biostatistical methods relevant to the specific projects funding the position. Assist in delivering high-quality postgraduate seminars and workshops in biostatistics. Engage in professional
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of participatory research methods that shape the future of healthcare delivery and policy. In this role, you will collaborate with esteemed researchers nationally and internationally, advance impactful clinical
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-ray scientist to spearhead advancements in X-ray based methods for real time analysis, including X-ray diffraction and X-ray fluorescence. The successful candidate will join the X-ray Technologies group
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-reviewed journal articles. The successful applicant will have two key attributes: Strong track record in Computational Fluid Dynamics and application of numerical modelling methods, and A track record in
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methods for the prediction of crystal structure, the critical step in materials prediction for discovery. It will develop and apply new ML approaches to crystal structure prediction. Based at the University
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Materials Science or Chemical/Electrical Engineering with a strong background on micro-manufacturing and industry-compatible techniques for metal deposition. Requires advanced skills in electrodes micro/nano
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research related to a new proposed iron/steelmaking route with specific focus on slag properties and slag-liquid metal reactions for high temperature processing. The fellow will be involved in planning
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the design of complex research experiments, under supervision of senior staff. Set up equipment and perform non-routine experiments/techniques requiring advanced knowledge/skills. Assist scientific method
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: Review existing governance models, develop framework elements, and contribute to the overall design of the LINEAGE framework. Collaborate Across Disciplines: Work with researchers from various fields