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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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Requisition ID req34979 Working Title Data Entry Research Assistant Pay $14.00 Hourly Campus Main - Albuquerque, NM Department AS Biology General Administrative (048F) Employment Type Student
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
(GMAO), is a comprehensive Earth system model and data assimilation system. The GMAO assimilates aerosol optical depth (AOD) observations from space-borne (e.g. MODIS, VIIRS) and ground-based (AERONET
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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University of the Virgin Islands | Saint Croix Falls, Wisconsin | United States | about 23 hours ago
Posting Details Posting Details Location St. Croix Semester(s) Spring 2026 Number of Student(s) Requesting 4 Job Title Water Resource Data Management Research Assistant OTS#(Organizational Time
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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for candidates interested in the intersection of complex oxide epitaxy, quantum information, and nanophotonic to contribute to high-impact science at a national user facility. Key Responsibilities Develop and
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- Provisional Positions Department's Website: Summary of Job Duties: The Data Life Cycle and Curation Theme aims to achieve automated heterogeneous data curation. While we have already developed the Data Washing
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a