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Field
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(incl. roads, railways, and waterways) as well as their associated engineering structures (bridges, retaining walls, noise barriers, and hydraulic structures). A wide range of remote sensing data may be
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The successful candidate will be responsible for leading research programmes in remote sensing technology and applications. He/she is expected to continuously enhance the scientific knowledge
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/Scientist position in the area of ionospheric physics, remote sensing, and in-situ instrumentation. The primary function of this position is to support the ongoing ionospheric research in Space and
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and curation of remote sensing data from UAV mapping missions across multiple forested sites. ML Researcher: develop biodiversity classification and LIDAR canopy analysis algorithms based on UAV remote
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; experience working with a range of observational data sets of atmospheric composition such as ground based and remote sensing measurements; and an emerging strong track record of scientific output
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groups in the following seven departments: Materials Mechanics Management & Design, Engineering Structures, Geoscience and Engineering, Geoscience and Remote Sensing, Transport & Planning, Hydraulic
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passive remote sensing.”. ** According to the European Framework for Research Careers Applicants should have: A Bachelor’s degree in Physics and a Master’s degree in Environmental Physics, Meteorology
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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for coastal remote-sensing data, with emphasis on ICESat-2 and airborne bathymetric lidar for nearshore bathymetry and comparable applications that support navigational safety, coastal science, habitat
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of Washington. Our research expertise is in ocean physics and engineering, ocean and medical acoustics and imaging, polar science, remote sensing, and signal processing. We conduct research and development