2,257 linked-data-"https:"-"https:"-"https:"-"Bath-Spa-University" Postdoctoral positions
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 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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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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completing one) in biological mass spectrometry, proteomics, or structural biology, with demonstrated expertise in LC–MS/MS sample preparation and data analysis. While hands-on experience in cross-linking mass
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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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21 Mar 2026 Job Information Organisation/Company CNRS Department Institut de biologie de l'Ecole Normale Supérieure Research Field Mathematics Researcher Profile First Stage Researcher (R1
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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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Post Duration: 19 Months, whole-time Post For an information package including full details of the post, selection criteria and application process see https://ore.ucc.ie/ The University, at its
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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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leader Prof. Hiroaki Kikuchi, Meiji University) aims to develop innovative data privacy technologies. A post-doctoral researcher who engages in the following studies is now open. https
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 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