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resistivity data but will also consider applicants with experience more focused in relevant geophysical data analysis. The Research Fellow will join an international team in the project “Quantifying evolution
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of Stirling and Aberdeen and the wider academic team to design and implement social analysis of the cases including regional profiles, interviews and workshops on place-based understanding of Just Transition
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of large data sets, the design and integration techniques to enable data validation, integrity, analysis, output validation and reporting. Developing integrative strategies for a diverse set of data
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resistivity data but will also consider applicants with experience more focused in relevant geophysical data analysis. The Research Fellow will join an international team in the project “Quantifying evolution
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in all of the component techniques but demonstrable experience in a number of the aspects is required. It is expected that the postholder will have: completed, or be close to completing an experimental
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these outcomes vary between those who studied abroad and those who did not. In addition to secondary data analysis, the project also collects and analyses data about study abroad from case study universities
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methodology project looking at the design and analysis of randomised trials of interventions to reduce the risk of vector-borne diseases (e.g. malaria and dengue). The Project offers an interdisciplinary
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multidisciplinary research team collaborating on the optimisation of metal hydrides and/or the design of solid-state hydrogen stores and compressors. The candidate must be awarded a PhD by an internationally
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development of integrated techno-economic and life cycle assessment models, incorporating uncertainty analysis and multi-objective optimisation to evaluate and optimise the cost, carbon footprint and resource
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of large data sets, the design and integration techniques to enable data validation, integrity, analysis, output validation and reporting. Developing integrative strategies for a diverse set of data