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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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responsibility for: Designing, implementing, and overseeing large-scale team projects, including multi-year projects, in collaboration with Analysis and Data teams to ensure projects support CSET's data-driven
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academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals $2 billion. UC is a mission-driven
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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
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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 develop your
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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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 anticipate submission of a
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-resolution spatial transcriptomics and multiplex imaging, to turn large-scale data into actionable insights for both fundamental and translational research. About the role We are seeking a Senior
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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