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Field
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fertility management and remote sensing research experts who seek to develop precise fertilizer recommendations and regenerative cropping systems in arid-saline conditions of Morocco. We seek a highly
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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. The research aims
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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, University of Maryland, and Stroud Water Research Center in the areas of hydrologic and biogeochemical Modeling and water quality remote sensing. The postdoc will contribute to research activities of a NASA
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-scale ocean biogeochemical changes using a combination of remote sensing, modeling and in situ observations. Specifically, the postdoc will use a combination of ocean color remote sensing observations
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, participation in scientific conferences or research projects), - Experience in advanced GIS analyses and in production and analysis of remote sensing material, - Documented experience in field and laboratory
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taxonomy. Experience with temperate nearshore ecosystems and California Current oceanographic dynamics. Experience developing and applying ocean color remote sensing algorithms to satellite data, especially
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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-frequency sensing and data transfer (ISAC) are integrated into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging
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Massachusetts. The potential for hybrid or remote status can be discussed with the preferred candidate. The incumbent will work under the general supervision of Principal Investigator Clem Clay and Co-PI’s Dr