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different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers
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of gender, political communication and “everyday sexism” Analysing and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co
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(EMS) Developing a procedure for local manufacture of electrolyte Analysis and publication of data from the installed battery The successful candidate will work in collaboration with SOLead Energy, a
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a state-of-the-art Earth system models(UKESM). We are looking for someone experienced in analysing output from large, complex climate models or Earth system datasets, and who is experienced in or keen
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collaborators, policy makers, industry partners, and civil society organisations¿often within large, multi-institutional research consortia. To apply online for this vacancy and to view further information about
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complementary. Broadly the posts include a qualitative research methods expert, a qualitative research methods expert in big data, and a quantitative research methods expert. Please note that this post may be
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About us Our Big Data in Health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group conducting innovative research to address
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions