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Field
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
The large collaborative project ‘3D-ABC’, funded for 3 years by the Helmholtz Foundation Model Initiative, will focus on the development of a Foundation Model combining large remote sensing and field datasets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
to estuary using satellite remote sensing and data analysis. The specific research focus is flexible, offering the opportunity to develop and pursue new ideas within the broader scope of the project. Minimum
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employees enjoy a relaxed atmosphere. We are committed to ensuring our employees feel valued, supported and empowered to reach their professional potential. Enjoy lots of employee benefits: Financial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
. The research component will focus on using a combination of satellite remote sensing and sediment transport modeling to understand inland river deltas (e.g. those forming in lakes and non-coastal
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, collaboration and wellbeing. Support, coaching and sparring when you feel you need it. Great possibilities for competence development and learning. We constantly keep learning to find the most impactful ways
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
will contribute to a project examining sediment and/or carbon fluxes and processing from river to estuary using satellite remote sensing and data analysis. The specific research focus is flexible
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modelling and remote sensing, as well as interactions with stakeholders are key components of Land-CRAFT. We have a team of researchers working at field, farm and landscape scales. The researcher for farm
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the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated
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productivity across northern regions. The research will leverage unique, long-term datasets from Fennoscandian lakes— including climate data, water chemistry, biotic indicators, and satellite remote sensing