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vertically. The project combines urban studies, remote sensing, 3D modelling, environmental science, architecture, political science and participatory approaches to investigate the environmental, social and
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equally between teaching Remote Sensing and GIS at bachelor and master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis
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-intensive soil and agronomic analytics and geospatial modeling. • Proficiency in proximal sensing, GIS, and remote sensing. • Ability to multi-task and work cooperatively with others. Preferred Qualifications
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geospatial datasets using appropriate methods (e.g. GIS, remote sensing, drone-based survey where appropriate). Contribute to the co-development of Minimum Valuable Prototypes (MVPs), ensuring scientific
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programming applied to statistical models, as well as in GIS, • knowledge of cancerology, • an experience in spatial data processing and/or remote sensing. You are familiar with the necessary software and tools
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habitat characterization workflows using combinations of bathymetric datasets, side-scan sonar, remotely sensed imagery, GIS, and other spatial datasets to produce habitat maps, ecological indicators
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. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing, and other marine habitat mapping technologies is highly desirable. Candidates should have experience integrating
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numerical modeling, remote sensing applications, and the development of data-driven decision-support tools. The successful candidate will work on a NASA-funded Transboundary Model and Data Homogenization
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Qualifications Ph.D. degree with expertise in at least two of the following areas: human-environment geography, landscape ecology, land system science, remote sensing/GIS science, data science, or related field
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practices. These projects include: a) investigate how different grazing management strategies impact carbon and water cycling in grassland ecosystems, b) integrate remote sensing data (e.g., NDVI, EVI, land