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assessments in these studies involved large, high quality, multi-informant and multi-method assessment batteries including diagnostic interviews, direct observation tasks, health economics data and a large
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of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential. Ability to communicate complex information clearly. Excellent
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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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digital infrastructure and transport infrastructure, and the need to provide standard services, including emergency responses, across large geographical areas. The aims of the CARMHRS study are: To improve
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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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Wind Tunnel (IWT) facilities and providing support on experimental test campaigns. This will include assisting with tunnel and model instrumentation, data post-processing, analysis and management
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techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both keyword-based search and SPARQL querying. EPRESSO will build on and
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management system (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
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for conducting quantitative data analysis of large secondary datasets and be based at the University of Bristol. There are opportunities to work on several other ongoing and upcoming research projects to help
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observation tasks, health economics data and a large battery of questionnaires. Because of the quality of the datasets, the elevated risk of children involved and the importance of the research questions, we