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Field
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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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with other PRECISE facilities, potentially supported by analog field work or analysis of planetary remote sensing data. PRECISE provides a unique suite of 13 analytical laboratories enabling a wide range
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field (e.g. Environmental Engineering, Ecology, etc). We are particularly interested in applicants who have experience with satellite remote sensing (optical and/or radar) and background in surface water
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
description can be changed at any time. Minimum Requirements Minimum qualifications for the Turner post-doc fellow include the following: PhD by the hire date in Geography, Remote Sensing, Earth Sciences, or in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
and Experience Requirements A Ph.D. with an emphasis on remote sensing. Required Qualifications, Competencies, and Experience Required Qualifications for Remote Sensing Post-doc: 1. A PhD degree with an
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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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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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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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tools Supervising and guiding Master and PhD students Active participation in project meetings and events Presenting and publishing the research on an international stage Your Profile: As part of our
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team and complete projects without constant supervision. Understanding the complexity of ecological data sets and the analysis thereof is essential to the project. Also, the integration of remote sensing