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learning as well as a strong background in scientific programming (in languages like Julia, Python, Fortran or C/C++). The applicant must hold a PhD in physical oceanography, atmospheric sciences, computer
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Foundation Biological Oceanography award (the collaborative P-MixSwitch project with Susquehanna University), and is renewed annually contingent on performance and funding. The anticipated start date is early
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Posting Description POSTDOCTORAL ASSOCIATE, Earth, Atmospheric & Planetary Sciences, to work at the intersection of physical oceanography, numerical modeling, high-performance computing, and machine
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Position Overview School / Campus / College: College of the Environment Organization: School of Oceanography Title: Postdoctoral Scholar in Salt Marsh Geomorphic Modeling Position Details Position
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to their imperfect representation of ocean and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
play a pivotal role in these cavities. This research opportunity aims to understand the physical processes governing ice-ocean interactions in these different ice-shelf cavities using a combination of
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mass spectrometry in omics research. Equipment Utilized Equipment related to the relevant biological assays, chemical analyses, data analyses and other analyses. Physical Demands and Work Environment The
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USNH Employees should apply within Workday through the Jobs Hub app This position is for a postdoctoral research associate in the Ocean Process Analysis Laboratory. The postdoc will be supervised
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and sea ice interactions at sub-grid scales. This project aims to improve our physical understanding of these fine-scale processes, including the melting and breakage of sea ice, using a framework
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
command of English (approximately equivalent to CEFR level C1) Preferred Qualifications and Skills Experiences in numerical modeling, advanced data analysis, and physical oceanography Experience working