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structured and unstructured datasets such as multimodal data and remote sensing data. • Ability to engage effectively with stakeholders through outreach, extension, and engagement activities. Overtime Status
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and radar remote sensing, climate time series, and hydrological models. The work will employ machine learning and explainable AI techniques to improve flood prediction under different hydroclimatic
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development background with programming experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing
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Internal Number: JR90686 Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive
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Position Summary This position will focus on integrating high-resolution field monitoring, remote sensing, and statistical and numerical modeling approaches to improve predictive flood hazard
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an interdisciplinary, international research environment spanning ecology, remote sensing, socio-ecological systems, and climate adaptation. The researcher will work within a dynamic team committed to collaborative
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development background with programming experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing
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sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic Information Science (GIS), and computational science for health and environment
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environment that fosters professional growth, personal development, and a strong sense of community. With a commitment to diversity, equity, and inclusion, we value the unique perspectives and experiences
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Job Description We invite applications for a 3 year postdoctoral position to study ice sheet dynamics using remote sensing data. The postdoctoral position is a part of The Center for Ice-Sheet and