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Field
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Researcher position to join the DISECO project (The role of disequilibrium on niche and biodiversity effects over ecosystem trajectories). The position focuses on the remote sensing component of the project
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postdoctoral research project. The project focuses on the development and application of a remote sensing algorithm for monitoring the physicochemical properties of aerosols based on optical measurements taken
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wireless communications systems. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We’re looking for people driven by excellence, excited about innovation, and looking
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
of cutting-edge remote sensing observations and process-based models to study terrestrial and coastal ecosystems that are under increasing threat from a range of factors including wildfire and other
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Join and help us to derive global forest biomass data from the European Space Agency’s Biomass satellite mission. If you have interests in remote sensing, machine learning and forests, this is the
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The Department of Environmental Science at Aarhus University (AU-ENVS), Roskilde, invites applications for a 2-year position as postdoc in satellite remote sensing and land-use modeling of grassland
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
. Description: Participant will develop integrated photonics technology for space-based remote sensing applications. Integrated photonics is used for light creation, manipulation, processing and detection in a
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that integrates multi-source observational data (e.g., eddy covariance flux towers, satellite remote sensing, and atmospheric datasets) to investigate how SAI could influence ecosystem carbon fluxes and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 hour ago
bioengineering solutions to urgent societal needs. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing
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, including collection and analysis of laboratory and remotely sensed hyperspectral data; geological ground-truth measurements; development and testing of novel sensor equipment; and integration with other data