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Field
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interview coding, document review, and synthesis of findings across data sources Collect, organize, and code Partnership Agreements, improvement plans, benchmark review materials, meeting notes, and other
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Foundation–ETH Fellowship Programme supports postdoctoral researchers at ETH Zurich within the Centre for Origin and Prevalence of Life (COPL). The programme is intended to foster the development of young
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-augmented generation) workflows for schema matching and terminology mapping Collaborate with national and multi-institutional initiatives in data integration and standardization Support open-source tooling
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Description Website for additional job details https://algoritmi.uminho.pt/open-positions/ Work Location(s) Number of offers available1Company/InstituteUniversity of MinhoCountryPortugalState
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discovery timelines from months to days while building reproducible, open workflows for the broader materials and AI research communities. For the postdoctoral fellowship, we seek candidates with a PhD in
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Research Infrastructure? No Offer Description ANNOUNCEMENT FOR THE AWARD OF A RESEARCH FELLOWSHIP Research Fellowship (1 vacancy) CEB-BI-51-2026 A call for applications is now open for the attribution of one
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
Posting Information Posting Details Department CIND - TEACCH Adm - 427401 Posting Open Date 08/19/2026 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web search-based
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decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web
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decision-making, and collective action. The Postdoctoral Fellow will help extract relevant open-source information in a guided snowball data collection manner by leveraging cyber forensics and deep web