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Field
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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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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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-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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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
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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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network analysis of interactions between these features. These pipelines and computational tools will be used to integrate imaging and genetic data, and maps of myelin distribution in the cortical grey
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breast cancer in animal models (4). In this PhD project, we will investigate: The effect of combined treatment with ITCs and a selected anti-cancer drug (sorafenib or triptolide) on breast cancer will be
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@bristol.ac.uk ) 4th Supervisor: Professor Jenni Barclay (J.barclay@bristol.ac.uk ) Applications are invited for a fully funded three years PhD studentship. The studentship will start on 1st January 2026
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science, data analysis, socio-economically-driven decision-making, and collaborative research, highly sought-after skills. Number Of Awards: One Start Date: Autumn 2025 Award Duration: 4 years Application