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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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. Application Procedures The following application materials must be submitted via Academic Jobs Online position # 30300 by October 31, 2025. Information Cover Sheet (will be generated via your AJO account): (a
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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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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
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interdisciplinary team at the Technische Universität Dresden, focusing on the integration of multi-omics data to better understand, diagnose, and treat metabolic diseases (i.e. obesity, diabetes, metabolic
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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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Posting Details Posting Detail Information Working Title Biomedical Sciences Postdoctoral Fellows – Research – Open Pool Position Location Fort Collins, CO Work Location Position is fully in-office
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will be 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
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Engineering or similar discipline. Preferred skills: Linux operation and big data Surface hydrology background. A minimum GPA of 3.0. Application Requirements A complete application consists of: Zintellect