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tools, Earth foundation models, and a good working knowledge of modeling approaches in ecology. In particular, we are looking for someone interested in developing hyperspectral data analysis pipelines and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 11 hours ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). The Goddard Earth Observing System (GEOS), developed by NASA’s Global Modeling and Assimilation Office
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locomotor gait (using the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration
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profiling and spatial data integration, with high relevance for developmental biology, immunology, and maternal health. Qualifications Applicants should hold (or be close to completing) a PhD in molecular
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Programme? Not funded by a EU programme Reference Number BAP-2025-749 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD
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research that links question answering, knowledge modelling, geo-spatial analysis, and workflow construction. This PhD position focuses on developing a semantic model of the diverse geodata sources in a map
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to develop and apply advanced remote-sensing approaches and AI-assisted image analysis to investigate the distribution, diversity, and spatial dynamics of Antarctic lichen communities, thereby contributing
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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focusing on optical sensor modeling, image formation processes and computational methods for highly complex image analysis, i.e. satellite images. The research will also focus on methods to extract spatial
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the Sandelin and Falsig Pedersen laboratories, which are closely located at University of Copenhagen. Our recent work in this area includes: Spatially resolved analysis of microenvironmental gradients in cancer