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and remote sensing. Experience with environmental modeling, downscaling, and data integration techniques. Salary Range $55,000 + depending on qualifications. Working Conditions May work around standard
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models of surface change for comparison with morphometric analysis of visible remote-sensing observations of Mars and icy worlds Minimum Qualifications: PhD in engineering, planetary science or any related
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 2 months ago
of fellowship appointment. Questions about this opportunity? Please email npp@orau.org Qualifications Strong background in remote sensing, satellite data analysis, and/or machine learning methods. Familiarity
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). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing Applications: Society and Environment, 29, 100913. Roux, P
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, the informatics department of the University of Kiel, and the remote sensing company EOMAP GmbH & Co. KG. Who are we? The IOW is an independent research institute of the Leibniz Association for which equal
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platforms for integrating spatial and temporal information, harnessing remote sensing data, using climate information, understanding fuel accumulation and running physics-based or data-driven wildfire
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, please feel free to contact Dr Greg Ashton by emailing gregory.ashton@rhul.ac.uk For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk
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diversity, pluralism, and individual differences. Required Minimum Education Level PhD Work Location Hybrid — Remote/On-campus Employment Category Fulltime Required Application Documents Cover Letter
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familiarity with model coupling frameworks (e.g., ESMF). Proficiency in programming and data analysis (e.g., Python, Fortran) and handling large datasets, including GIS or remote sensing integration. Strong
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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