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Field
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sensing, and geodesy approaches Your qualifications: A PhD degree (or equivalent) in Geosciences, Earth Sciences, Geophysics, Remote Sensing, or a related field Background in active tectonics, structural
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 2 months ago
information (in situ and remotely-sensed observations as well as climate and weather model output) to enhance decision support across a range of impact sectors and applications (in particular related
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possible renewals, an accumulated period of 3 (three) years in this type of scholarship, consecutive or interpolated. Proven knowledge in: Data Science (Python) Machine Learning (Python) Remote Sensing
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theoretical and intellectual value, the research will benefit many applications, such as biomedical therapy, remote sensing, antenna/filter theory, and inverse problems in physics and engineering. Good working
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research on new models integrating terrestrial plant biodiversity, ecosystem productivity, hyperspectral remote sensing and airborne LiDAR to test prominent hypothesis of the effect of tree diversity
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Requisition Id 15359 Overview: We are seeking a highly motivated Postdoctoral Research Associate to contribute to cutting-edge research at the intersection of wetland science, remote sensing, and
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and Remote Sensing, Transport & Planning, Hydraulic Engineering and Water Management. Click here to go to the website of the Faculty of Civil Engineering & Geosciences. Conditions of employment
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University of Campinas (UNICAMP) in Brazil, have an open call for 2 post-doctoral fellowships for the project “Hybrid hyperspectral-SAR remote sensing for agriculture application”, an international cooperation
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Associate to undertake fundamental and applied research into novel deep learning approaches to analysing LiDAR and vision data in forest imaging and remote sensing. The role is part of a three-year project
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algorithm development and satellite remote sensing • Good written and spoken English • Ability to work independently as well as in a team • Proficiency in programming languages (e.g. Python, R, Fortran