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The Faculty of Humanities at the University of Helsinki invites applications for the position of POST-DOCTORAL RESEARCHER IN COMPUTER SCIENCE OR DIGITAL HUMANITIES SPECIALIZING IN AUDIOVISUAL DATA
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months ago
. Description: NASA Ames Research Center is looking for a postdoctoral assistant with research interests in low-cost sensors and/or data fusion to join our Trace Gas measurement group. This will involve working
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Mechanics and Turbulence” group and conduct research on data-driven techniques for turbulence modeling in LES and RANS. The initial contract will be for one year, with the possibility of an additional one
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specified by the Principal Investigator. Additional Information and Description about the Job: Postdoctoral Fellow in Data Center and Energy Infrastructure Buildout Emory University, Department
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. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information. All
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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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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Description We are seeking Post-Doctoral Associates who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the
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Department: SOM KC Internal Medicine - Nephrology and Hypertension ----- Medicine - Nephrology and Hypertension Position Title: Research Data Assistant - Internal Medicine (Nephrology) Job Family
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 2 months 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