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. The successful candidate will be expected to: Conduct PhD research Contribute to the analysis and reporting into issues pertaining to air power and related issues as a member of the FASI team. Assist in
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and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our
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with stakeholders would be desirable. Previous experience of collecting primary qualitative data collection (including questionnaire design) and data analysis is desirable. Experience of working with
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-world impact of their research Be comfortable using and learning about quantitative data analysis *applicants with less experience of more advanced quantitative methods, such as computational modelling
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-specific alpha-synuclein A30P human mutation, we will employ electrophysiological techniques, RNA sequencing, proteomics, and histochemical analysis. The findings are expected to provide insights into early
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-motivated in advancing science. Their active involvement in this project will contribute to their career development, such as increasing their competitiveness in PhD scholarship applications. The successful
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Depression Service (NSDS) and South Nottingham. Current MHM funding for the clinics runs to January 31st 2028, which falls within the timeframe of the PhD and will allow full analysis of impact. Given
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-scale job ads datasets, spatial datasets, patents). Conduct data analysis using econometric and statistical tools. Excellent knowledge of R is expected. Good knowledge of Python, experience with modern
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analyses by age, ethnicity, and index of multiple deprivation will be performed. The second stage of the study will involve the analysis of prospectively collected EQ-5D-5L data from a cohort of patients to
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analysis methods. You will gain expertise in integrating experimental total scattering and high-resolution imaging data with artificial intelligence and atomistic simulation tools to overcome current