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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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interdisciplinary scientific evidence. This program is funded by the U.S. Department of Education's Institute of Education Sciences (IES) , grant number R305B220018, and housed at the Stanford Center on Early
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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department of Chemistry & Biochemistry visit: https://www.unf.edu/coas/chemistry/ Required Qualifications: Ph.D. in any scientific discipline, library science, information science, or closely related field
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talent development, psychosocial functioning, twice-exceptionality, academic acceleration, and program evaluation. The Postdoctoral Scholar will enhance the research mission of the Belin-Blank Center by
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to any of the duties listed above here: https://indiana.peopleadmin.com/postings/32134 . Priority consideration will be given to candidates who submit materials before March 1. Appointment term
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
. The School was named the number one School of Pharmacy in the U.S. by the U.S. News and World Report. The School has experienced unprecedented growth and success and continues to strategically position itself
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Resident/Green Card holder, or (3) in the application process to become a U.S. Permanent Resident/Green Card holder. • Ph.D. in Physics, Chemistry, Quantum Information Science, Optics, Electrical Engineering
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of Clinical and Preventive Nutrition Sciences at Rutgers School of Health Professions is seeking a highly motivated Postdoctoral Associate to join an active research program focused on maternal and
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Remote Sensing; Machine Learning Models for Predicting Wildfire Spread; Wildfire Risk Assessment Through Multi-Modal Data Integration; Automated Vegetation and Fuel Load Mapping Using Computer Vision; AI