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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 1 day ago
are looking for individuals with A PhD in oceanography, climate sciences, or a related field A strong background in programming (e.g., Python, Fortran, Matlab) and ocean or climate modeling A strong background
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 hours ago
. Description: Ocean worlds such as Europa, Enceladus, Titan and Ceres are exciting, potentially habitable worlds in our own solar system. A large mass fraction of these bodies could be composed of organic matter
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responsibility. Through project collaborators, the candidate will have the opportunity to develop a broader international network around ocean observations, modelling, climate variability and dynamics. Salary and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
of Oldenburg Your Profile PhD in marine ecology, finalized by the start of the project Advanced statistical modeling skills including analysis of biodiversity time series and functional traits, evidenced by
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
numerical work (35%) Minimum Qualifications: PhD in Ocean Engineering or related field Experience with programming and analysis in Matlab or similar programming language Experience with hands-on experimental
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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The department Ecosystem Modeling identifies key mechanisms of the human-driven transformation of marine ecosystems (www.hereon.de/ecomod). Within the collaborative JPI-Ocean research project “Impacts
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Job posting (PHY 06/2025) The Leibniz Institute for Baltic Sea Research Warnemünde (IOW) has a temporary vacancy starting 01.01.2026 for a Postdoctoral position in regional ocean climate modeling in
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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-geostrophic idealised model and use operational and bespoke Met Office model output for case study analysis. You will have : a PhD in atmospheric science, engineering, physics or mathematics (or a closely