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Internal Number: 1119227 Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land
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MadridCountrySpainCityMadridPostal Code28049StreetCalle Einstein, 3Geofield Contact State/Province Madrid City Madrid Website http://www.uam.es/ss/Satellite/es/home/ Street C/ Einstein 3 Postal Code 28049 E-Mail convocatorias.pi
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
. Quantifiable information about polynya dynamics can be obtained from satellite imagery revealing long, regularly-spaced 'windrows' of nascent ice crystals generated by a subsurface flow known as Langmuir
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propulsion, small satellites, asteroid engineering, and space avionics. Subject description Space systems includes systems for control, instrumentation and communication in the upper atmosphere and in space
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simulation methods to target critical performance parameters for satellite quantum key distribution and imaging LiDAR applications. You will develop new process methodologies and fabricate SPADs in the state
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studies will be carried out and evaluated against satellite observations to quantify cirrus responses in terms of microphysics, lifetime, and radiative properties. These developments will then be extended
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
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models for monitoring urban environmental indicators. • Integrate multi-source Earth Observation data (satellite imagery, environmental datasets, geospatial databases) for urban analysis
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 11 hours ago
inventories) with satellite remote sensing data (e.g., spaceborne lidar and/or hyperspectral observations) and apply machine learning and deep learning approaches to address these questions. This position is
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Observation data (satellite imagery, environmental datasets, geospatial databases) for urban analysis. • Collaborate with academic partners, public institutions, and urban stakeholders to support sustainable