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, geophysics, or a related field. The candidate must have a strong background in solid mechanics, inverse problems, and wave propagation. Knowledge of poromechanics is preferred but not required. Also of
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. in atmospheric sciences, geophysics, physical geography, or other relevant disciplines, received in 2019 or later Documented publication record in peer-reviewed journals Knowledge of at least one
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. Integration of TWS datasets from various sources, such as GRACE/-FO, CMIP6 climate models, and hydrological models Requirements: PhD in Geodesy, Earth Sciences (including Geophysics), or a related field, Basic
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capacity with very experienced support staff for high level geotechnical and geophysical measurement setups. At TU Delft, we offer a supportive and inclusive working environment that values international
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on flows driven by thermal convection, we have obtained an unambiguous observation of the 'ultimate regime' of thermal convection, at play in geophysical and astrophysical flows. We have developed a theory
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background in petroleum engineering, geology, geophysics, or related fields. Knowledge of reservoir engineering (especially numerical simulation) and programming skills is preferred. The objective
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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of PotsdamCountryGermanyCityPotsdamPostal Code14476StreetKarl-Liebknecht-Straße 24/25Geofield Contact City Potsdam Website https://www.uni-potsdam.de/en/geo/research/general-geophysics Street Karl-Liebknecht-Straße 24/25 E-Mail eva.eibl@uni
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Potsdam Website https://www.uni-potsdam.de/en/geo/research/general-geophysics Street Karl-Liebknecht-Straße 24/25 E-Mail eva.eibl@uni-potsdam.de STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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research and, on the other hand, a focus on applications. These applications are in other sciences (geophysics, physics, biology, mechanics and computer science), in other areas of mathematics (applied