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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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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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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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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
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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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disciplines and provide a working environment where researchers can develop their careers and passion for their chosen subject area. As a Postdoctoral Research Associate in Ice-sheet Modelling and Data
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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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2 Apr 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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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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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
candidate will work on an exciting project focused on extracting and analyzing experimental and computational data to develop predictive models for polymer-based materials. This project aims to leverage