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will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with particular emphasis on deep-field observations. The position provides access to large, high
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very large datasets of epidemic indicators, such as case surveillance data, cellular phone data, and mobility patterns. Qualifications: PhD in a quantitative field such as mathematics, network science
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and/or slitless spectroscopy datasets and/or JWST imaging datasets Development of methods for large spectroscopic surveys and data products This is a two-year term appointment from date of hire with
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, Division of Computational Biology) on research using large-scale EHR data sources, including Epic Cosmos and PEDSnet. Ideal candidates will have experience in one or more of the following areas: EHR-based
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, or real-time data processing for large experimental datasets. Familiarity with multimodal data integration and scientific data management frameworks. Interest in the development of AI-guided or autonomous
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - AI in Arts and
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, which supports a Tier 2 computing center and a dedicated Analysis Facility serving hundreds of physicists across the U.S. ATLAS collaboration at the CERN Large Hadron Collider. The scope of the position
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disparities across the prevention and survivorship continuum. Our work leverages large-scale cohort studies, registry data, and multi-omics platforms to generate actionable, high-impact insights. The team
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communication skills, and can work both independently and as an effective member of a large research team. The candidate will be expected to initiate new research proposals for both intramural and extramural