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Field
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for increased joint cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk mitigation (e.g. preparedness stock piling
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diffraction data, including phase identification and qualitative and quantitative phase analysis using Rietveld refinement. Experience acquiring and interpreting data from one or more of the following
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from a range of disciplines using qualitative, quantitative and mixed methods approaches, often working across disciplinary boundaries and in close collaboration with societal partners. Within
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, and research method innovation. The collaborative expertise of the postdoctoral associate cohort, using both qualitative and quantitative methods, will contribute to, for example, foundational research
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contexts Develop and/or evaluate how users interact with AI in different conditions (e.g., LLM-based tools, decision support systems, adaptive interventions) Analyze qualitative and/or quantitative data
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online and in-person/hybrid audiences; Excellent research skills, particularly in gathering and analysing qualitative data following ethical research practices; Experience publishing as lead author in
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underserved populations. Research skills and experiences will include utilizing mixed methods research, community engagement, qualitative, quantitative, and big data collection and analysis. This position
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combination of the following: Familiarity with quantitative, qualitative, and spatial research methods, including community-engaged research designs Strong organizational skills and project management
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and data analysis, both quantitative and qualitative. Experience of writing reports and peer review papers. Experience in providing (co-)supervision. Experience in writing research grant applications as
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for community resilience, land use planning, environmental planning, and social vulnerability. Experience with both quantitative and qualitative social science data, particularly related to plan quality