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workflow — from experimental design and data acquisition to sophisticated data analysis, including nuclear reaction modeling. The researcher will contribute to the preparation of manuscripts for peer
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
, automation, and data analysis Experience running PyFR on HPC systems Ability to work both independently and collaboratively within a research team Preferred Qualifications: Experience working in Mars
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blood samples to advance patient care. This role will involve developing computational models (statistical, machine learning, etc.), and using them to perform high throughput analysis of clinical data
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models, for the analysis of high-throughput multi-omics datasets (especially single-cell and spatial omics), large textual corpora (e.g., scientific literature), and/or pathologic images. Our research
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
to the applicant. However, our group can train a motivated candidate in computational analysis of sequencing data. Create a Job Match for Similar Jobs About The University of North Carolina at Chapel Hill Carolina
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observational studies using the James Webb Space Telescope (JWST). The successful candidate will work with Prof. Daniel Eisenstein and collaborators on the analysis and interpretation of JWST data, with
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total of five years. This appointment is not intended for long-term, indefinite, or career appointments. I. POSITION INFORMATION Job Description Summary: AI AND META ANALYSIS The Institute for Data
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candidates can find additional information about department resources at https://earth.indiana.edu/. This is a full time position with healthcare benefits. The initial appointment for the position is 1 year
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neuroscientists and computer scientists to advance understanding of neural coding and circuit dynamics while contributing to publications, presentations, and mentorship within a highly collaborative research