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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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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 1 month 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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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
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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 knowledge in most
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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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the field and laboratory, and proficiency in DNA extraction, sequencing and related data analysis. The project includes aspects of entomology and LiDAR remote sensing, giving the Postdoctoral Researcher
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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 mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated ability to conduct independent research and publish high-quality