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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 functioning
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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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Type Staff Job Description Major/Essential Duties of Job: Evaluate the large scale influence of vegetation on groundwater recharge using remote sensing tools Run large scale evapotrationspriate models
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remote sensing scientist to work on a NASA funded project evaluating vegetation trajectory post-disturbance across the ABoVE domain (NASA, https://above.nasa.gov/sites.html ). Position Number 4C0029
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wasting of livestock. In the course of infection trypanosomes moderate their parasitaemia by quorum sensing to generate replication arrested ‘stumpy forms’, which prevent rapid host death and are pre
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Analysis Location: Centre for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University (UM6P), Morocco About the Position The CRSA is a leading research hub dedicated to advancing geospatial
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. About CRSA Center for Remote Sensing Application (CRSA) is a transversal structure across several UM6P Programs
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Remote sensing data provide essential information on the spatial and temporal variability in vegetation
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on the development of new methods integrating a variety of data types (remote sensing, geology, geophysics, geochemistry) for geological modelling and advanced exploration targeting of mineral deposits
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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