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research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems
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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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information systems (GIS), and handling large spatial datasets is essential. Strong written and oral communication skills, along with the ability to work collaboratively within a multidisciplinary research team
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Description Job Responsibilities: -Compile, organize, and synthesize large, multi-year datasets from soil health and crop productivity studies across multiple locations. - Apply advanced statistical and
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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-driven techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel
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and aging Skills in immunofluorescence, microscopy, image processing, and large-scale -omics data analyses Mentoring junior trainees About the Department The Department of Family Medicine and Community
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work on the CMS experiment at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL-LHC
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human vagus nerve stimulation and functional effects across the body. Experience in processing and modeling imaging data with predictive models. Experience in grant writing and working with large grant