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to the analysis and monitoring of urban environmental systems. The research will integrate geomatics, remote sensing, environmental geosciences, and artificial intelligence methods to investigate soil conditions
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for flood resilience—such as cloud-based flood forecasting, inundation mapping, and operational early warning systems—and will expand these capabilities through interdisciplinary research in remote sensing
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postdoctoral research project. The project focuses on the development and application of a remote sensing algorithm for monitoring the physicochemical properties of aerosols based on optical measurements taken
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data
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(OUE) peer mentoring and undergraduate research programs are managed in an efficient and effective manner, with the goal of increased student sense of belonging, success, retention, and various other
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sediment monitoring framework combining in situ observations and satellite remote sensing. The project directly supports EU policies including the Common Agricultural Policy, Soil Monitoring Law and Nitrates
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decision support Analysis of large-scale geospatial, sensor, and remote sensing datasets (e.g., multispectral, hyperspectral, LiDAR) Predictive modeling for crop performance, resource efficiency, and climate
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and the integration of new remote sensing resources to update the knowledge framework. On this basis, the relevant European, national, and regional regulatory framework is analyzed. An assessment
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of qualifications. Interview on: - Atmospheric Physics and Remote Sensing: Knowledge of radiative transfer and hyperspectral sensors. - Programming: Proficiency in languages such as Python, Fortran, or C
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The Alaska Satellite Facility (ASF) is committed to making remote sensing data accessible, and we’re seeking a temporary detail-oriented administrative assistant to help achieve our mission in a