198 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs
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partners in the digital health and health delivery ecosystem. Research Responsibilities Responsibilities will vary depending on the Fellow’s background, but may include: • Developing machine learning
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/C++, FORTRAN and/or Python. Experience working with geo-spatial information, remote sensing data, and GIS software. Experience in deep learning and computer vision. Experience in developing software
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Department Booth Faculty Research - Research Professional About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none
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Certificates/Credentials/Licenses N/A Computer Skills MS Office and willingness to learn software used in the research lab Supervisory Responsibilities No Required operation of university owned vehicles No Does
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Department Booth Kent A. Clark Center for Global Markets About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none
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veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
). Revisiting Ionosphere-Thermosphere Responses to Solar Wind Driving in Superstorms of November 2003 and 2004. J. Geophys. Res., 122. https://doi.org/10.1002/2017JA024542 . 2. McGranaghan, R. M., A. J. Mannucci
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Department Booth Faculty Research - Research Professional About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none
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the University’s mission to provide outstanding learning, discovery and engagement programs. Our dynamic, mid-sized college is interested in hiring faculty and staff whose goals align with our mission to serve
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. · Strong background in machine learning/AI and hands-on experience with large, heterogeneous datasets. · Practical experience with computer vision and/or spatio-temporal modeling (object detection