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Earth Observation data including Satellite Remote Sensing together with Soil and geospatial datasets. The All-Island Climate and Biodiversity Research Network (AICBRN) brings together researchers from a
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We are seeking an experienced Earth Observation and Modelling scientist who has knowledge of, and expertise in analysing Earth Observation data including Satellite Remote Sensing together with Soil
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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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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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expertise in forest ecology, disturbance ecology, and landscape ecology, and methodological expertise in harmonizing distinct databases (e.g., forest inventory, remote sensing, land cover), GIS, and R-based
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
learning. Interest in tropical ecology, public health, and sustainable development. Experienced and highly skilled in GIS and remote sensing. Strong communication skills and an interest in stakeholder
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remote sensing/climate data. You have programming skills in Python and/or R; you are familiar with reproducible coding and automated geospatial data analysis. You have excellent scientific writing and
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proficiency in languages such as R and Python. Experience in GIS, remote sensing, and processing projected climate data. Proven ability to manage multiple tasks effectively, work collaboratively in team
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
a closely related field Background in GIS, remote sensing, hydrology, environmental resource management, public health, urban digital twin, or data visualization Expertise in GeoAI/machine learning
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, multi- layered spatial data sets (e.g. Remote Sensing and GIS), and contributing to the growth of the interdisciplinary Integrated Coastal Studies Program, which focuses on issues related