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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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, within the Diabetes, Metabolism, and Inflammation (DMI) Group at the School of Life and Environmental Sciences. You will be a highly motivated individual who is able to work independently and as part of a
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the co-investigators and research partner throughout the project. Using recognised and appropriate techniques in environmental social science to collect data and analyse and interpret the results of own
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree in Engineering, Computer Science
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challenges and pressing environmental, geopolitical, urban and rural issues. Our research findings contribute to public debates and policy development at national and international scales, making important
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer Science
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of innovative mass spectrometry-based workflows and data evaluation tools. The developed metabolomic and exposomic tools will be applied to address pressing research questions at the edge of environmental/food
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with leading European researchers, policy makers and practitioners. You will have: A PhD in agriculture, ecological, or environmental science, Knowledge of entomology and agriculture, Experience
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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding