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in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
securing research funding Experience with cloud computing and data visualization tools Familiarity with ethical AI practices and geospatial data privacy Teaching experience and course design skills
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Familiarity with LiDAR data processing, especially GEDI Knowledge of fire ecology and land use change processes Experience with Google Earth Engine or other cloud-based geospatial platforms Experience with
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/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation
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may include software package creation and maintenance, data engineering, development and/or implementation of advanced statistical methodologies, and supporting research on high performance and cloud
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
data using Python, R, etc. Preferred Qualifications, Competencies, and Experience Desired qualifications are a) atmospheric and aerosol chemistry, b) proficiency in HPC, and working in a cloud computing
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publications. Preferred qualifications • Expertise in remote sensing applications to aquatic biogeochemistry, ocean color, or optical water quality. • Proficiency with cloud computing and high-performance