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The core of this research lies in the “science of science”—using large-scale data from scientific articles, patents, and grants to characterize the dynamics of research and innovation. A central
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large scale. The candidate will primarily focus on extracting and purifying metals from an inorganic matrix by-product, which will then be utilized in MOF synthesis. The material synthesis will involve
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grants, and lately large collaborative NSF ERC grants. For more information about the Chemistry Department of the University of South Dakota, please go to the website at www.usd.edu/Academics/Colleges-and
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 13 days ago
input, fieldwork oversight, and analysis of large-scale cross-national survey data; Oversee key aspects of implementing an international teacher survey, including coordination with external survey firms
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developing next-generation AI methods for healthy climate adaptation. The position will focus on building and evaluating foundation models for large-scale spatiotemporal health and environmental data. Our team
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Postdoc in pharmacoepidemiology: Long-term safety and benefits of ADHD medication in children and...
. Core research tasks include planning, conducting and publishing epidemiological studies using large-scale observational data, primarily register-based, with a focus on effects of ADHD medication in both
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research tasks related to the CULTS project. Main tasks include scraping (from open sources), organizing, and analyzing large amounts of rhetorical and behavioral communication (text data) of (primarily
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substance use and mental disorders. The Matilda Centre brings together researchers in broad fields to share skills, integrate data, and harness new technologies to develop and trial innovative prevention
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function of various centriole and centrosome proteins using a variety of imaging and analysis techniques in living Drosophila embryos. Experience with advanced light microscopy and analysing large imaging
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably