191 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "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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to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key
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Organization U.S. Department of Energy (DOE) Reference Code DOE-STP-CEFP-2026 How to Apply Click on Apply below to start your application. Connect with ORISE...on the GO! Download the new ORISE GO
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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
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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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/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 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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of Civil Engineering in the College of Engineering at the University of Texas at Arlington invites applications for a Postdoctoral Research Associate. The position focuses on applying AI, machine learning
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, or demonstrate a willingness to acquire relevant expertise rapidly. Proficiency in coding, numerical modeling, and experience with periodic DFT codes or MOLCAS are desirable attributes. The start date
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward