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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study (CBCS), a large, diverse population
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education (co-op) program in the country with students earning $88.8 million annually through paid experiences, an academic health system, and as a member of the Big 12 Conference. The university contributes
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well as big data to identify the factors that promote health equity for stigmatized populations, especially as they related to sexual, gender, and racial/ethnic identity. The research assistant will work
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distinguished postdoctoral fellowships in Computing Sciences: Luis W. Alvarez Postdoctoral Fellowship, and Admiral Grace M. Hopper Postdoctoral Fellowship. Researchers in computer science, mathematics, data
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collaboration that has mapped emotional hotspots in four cities in the UK and EU using spatial analysis of social media data. The next phase of the project aims to incorporate explainable AI (XAI) to interpret
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23 Aug 2025 Job Information Organisation/Company University of Oulu Research Field Engineering » Electrical engineering Engineering » Industrial engineering Engineering » Materials engineering
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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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21 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Country Luxembourg Application
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analyst for an ARC South London study on multi-morbidity in children using CPRD data. The ARC South London Children’s and Young person theme is important as many children in south London experience high
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completion) relevant to research area (immunology). Expertise in flowcytometry and/or fluorescent microscopy. High level of analytical capability, especially in the understanding and analysis of large data