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Are you interested in the combination of AI and data systems to impact healthcare decisions? If the answer is yes, please continue reading! Join our team! As part of the UNIFIED project we
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 hour 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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postdoctoral position funded by an ERC Consolidator Grant ‘SPARK’ awarded to Dr Lennart de Groot . Where to apply Website https://www.academictransfer.com/en/jobs/357812/postdoctoral-researcher-in-data
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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Apply now Job no:536170 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Computer and Information Science, Data Science Department: CAS Department of Data
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Resilience, we are seeking as of February 2026 a Postdoctoral Researcher in Quantitative Psychology / Data Science in Psychology Reference number: 2025-0319 Your Tasks The successful candidate will use
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Job Posting Title: Postdoctoral in Cognitive and Behavioral Data Science ---- Hiring Department: Department of Psychology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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conditions. About the role We are seeking a highly motivated postdoctoral Research Associate in research data science and analysis to join Professor Gerome Breen’s internationally recognised team at King’s
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour 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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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