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Intern to support the development, benchmarking, and large-scale profiling of 3D cancer models within our multidisciplinary team. The ideal candidate is enthusiastic about experimental work, data-driven
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
descriptive, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources. * Perform geospatial analysis including translating practice addresses to maps and
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the functional work on NED. Experience with Machine Learning or Artificial Intelligence. Proficiency in Python, working experience of Astropy. Experience manipulating large, diverse and complex data sets
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of the shipping system, shipping big data, and social science analysis of the policy and commercial structure of the shipping system. The research group’s multi-disciplinary work is underpinned by
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detectors and particle accelerators. Applicants should be highly motivated to work in a cross-disciplinary environment on R&D and engineering activities. The full job description is here: https://web.mit.edu
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23 Dec 2025 Job Information Organisation/Company University of Siegen Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany
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design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory instrumentation. Preparing
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secure data platforms Large-scale clinical, imaging, EHR, and omics datasets through DAPHI and institutional collaborations A dynamic, interdisciplinary community of data scientists, statisticians
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. This role focuses on delivering high-quality, data-driven analysis and insights that inform strategic decisions across the University. You will manage big data, develop evidence-based reporting, and support
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revolutionized our ability to obtain large scale RNA structure and RNA-RNA interactome information in the cell (Aw et al., 2016). This greatly expands our understanding of how RNAs are organized within the cell