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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 07/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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have: Expertise in processing optical remote sensing data over large areas and using machine learning models for predicting ecological metrics Strong background in remote sensing in hyperspectral imaging
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large-scale whole genome and whole exome sequencing, RNA-seq, ATAC-seq, proteomics, and metabolomics data in a well-established cohort of childhood cancer survivors with clinically ascertained deep
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 3 days ago
quantification of geologic CO2 and CH4 emissions on large scales are challenged by the remoteness of emission sites, inaccurate attribution of emission sources, emission variability, and insufficient monitoring
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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newly created division which focuses on development of novel data science methods to analyze biomedical big data for advancing health care. The Natural Language Processing / Information Extraction (NLP/IE
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Expertise in molecular, cellular, or microbial biology. Experience with computational biology approaches, including analysis of large-scale sequencing data. Background and strong interest in evolutionary
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large animal models (pigs). Works with collaborators to develop preliminary data and analyze animal model outcomes. Develops tissue culture assays to support research goals and isolation of primary cells
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genomic analyses on large case-control cohorts to identify risk and response associations for diseases of interest. Performs integrative analyses of other molecular and omics data, such as gene expression
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28 Aug 2025 Job Information Organisation/Company University of Massachusetts Medical School Department Human Resources Research Field Biological sciences Medical sciences Computer science