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Field
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findings regularly. Prototype algorithms, validate outputs, and document methods clearly Collaborate asynchronously with an international team, present findings regularly Experience with remote sensing
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and pasture phenotyping, focusing on the use of advanced remote sensing technologies as drones and satellite imagery. The fellow will develop phenotyping tools and protocols to identify traits
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detection (vision, force, voice), contribute to real-time control software and remote monitoring interface development, and oversee data collection during clinical user trials. They will work closely with a
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. The Faculty of CEG comprises 28 research groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing
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for calibrating remote sensing instruments and validating national and regional aerial biomass maps. The One Forest Vision initiative (OFVi project, https://www.oneforestvision.org/eng ) has enabled the creation
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detection (vision, force, voice), contribute to real-time control software and remote monitoring interface development, and oversee data collection during clinical user trials. They will work closely with a
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proposes to combine in situ and remote sensing data, radiative transfer models, and chemical and physical analytical methods to better understand the fundamental properties and the impact of mineral dust
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of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 months ago
cadre of satellite and airborne remote sensing platforms, termed ‘plume imagers,’ is demonstrating increasing ability to detect geologic emissions of CH4 and CO2 emissions from space. Unlike ‘area mappers