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Field
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful
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of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
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assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 16 days ago
downstream tasks such as retrieving aerosol information in the presence of clouds, and utilizing multi-pixel spatial and temporal approaches Field of Science: Earth Science Advisors: Patricia Castellanos
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 15 days ago
to better understand aerosol, cloud, and precipitation processes and their interaction through a constellation of instruments in low earth orbit (aos.gsfc.nasa.gov) that includes a 3-channel Raman LIDAR and a
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Technology at Lund University, The Faculty of Engineering, is unique in covering the entire technology stack — from wireless hardware and radio systems to distributed cloud platforms and applications. This broad
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WaterWeave project, which focuses on innovative solutions for monitoring and the sustainable management of water resources. The fellow will develop machine learning and cloud computing techniques to estimate