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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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successful in this position, you will have to demonstrate: Evidence of experience in social science research methods, especially quantitative research methods, and in particular, statistical modelling
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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
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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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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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software such as redcap, R, python. Experience in clinical trial management and coordination, including regulating clinical research with a large human subjects component. Strong knowledge of ICH Guidelines
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Network. The position involves conducting in-depth analysis of critical elements essential to MDT-based primary care, drawing on both national insights and relevant research from the MRFF-funded project’s
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and Community Trust for a Just and Effective Net Zero Transition , a two-year, multi-region, mixed-method study focused on the role of trust in Australia's decarbonisation efforts. The project
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”). This includes using structured light and angular momentum transfer to manipulate nano- and micron-sized particles in and around cells. By developing new methods to generate quantitative measurements
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journals and presenting at conferences. Evidence of obtaining and leading Category 2 and 3 research grants. Evidence of robust mixed-methods research skills specifically causal and inferential statistics