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inputs, less environmental impact and reduced greenhouse gas emissions. Within bioscience, the department has research in bioprocess technology, molecular biotechnology, enzyme technology, metabolic
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based on the understanding that early experience shapes the way our brain is constructed. While the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience
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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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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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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