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of coastal wetlands to environmental disturbances. Data Integration and Analysis: Perform multimodal and multiscale data analysis by integrating a diverse range of datasets, including in situ observations
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extracellular vesicles (EVs). Raising rats with Gulf War Illness and mice with traumatic brain injury. In vitro assays, biochemical and molecular biological assays. Data collection and interpretation. Manuscript
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: Experience with rodent behavior and olfaction. Proficiency in Python or other programming language for large data analysis. Experience with quantitative approaches to studying animal behavior. Experience with
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approaches and big data analysis will be included. As a component of this, it includes data analysis, prepare data for presentations (oral and written), write manuscripts, contribute to grant application, and
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from human blood and tissues) and analysis of -omics data, including spatial transcriptomics, to investigate the role of CD8 T cells in the cellular and molecular mechanisms of autoimmune diseases
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 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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Location Indianapolis Position Summary Are you passionate about genomics, big data, drug discovery, and AI/machine learning? Interested in advancing cutting-edge multi-omics research to explore genetic and