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Applications are invited for a Postdoctoral Research Assistant in Data processing for the MIGHTEE survey. This is a senior role funded through the UKRI Frontier Research Grant of Prof. Matthew Jarvis to lead the processing of the MIGHTEE continuum and HI survey data. The role requires a high...
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role in the delivery of a high-profile and innovative research project funded by NHS England. The LeDeR programme aims to analyse mortality data collected nationally and conduct deep dives in specific
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rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across conventional boundaries and pursue hypothesis-led science
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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Division at the University of Oxford. Each partner in the collaborative research partnership leads a programme of work as part of the PEC’s research agenda and with the support and guidance of the PEC’s
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The Role The Department of Theology and Religion at Durham University, in partnership with the Society of the Sacred Heart, invites applications for a 36-month Fellowship in Catholic Social Thought and Practice. The successful applicant will be expected to work on a research topic of their own...
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Health, Geography, Global Affairs, or a related field, possess sufficient specialist knowledge in the discipline to work within established research programmes, experience writing computer code in Stata
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research areas relevant to the project: solar magnetic field modelling, computational fluid dynamics, or solar observational data analysis. Working knowledge of at least one scientific computing environment
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role in the delivery of a high-profile and innovative research project funded by the National Institute for Health and Care Research (NIHR). The ENHANCED research programme aims to harness the power
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing