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Field
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autonomous workflows. with a primary focus on Artificial Intelligence within the field of Agriculture/ Remote sensing (not limited). The successful candidate will join a dynamic, multidisciplinary team and
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make a difference in the world! Position Information Texas A&M AgriLife Research at Temple is seeking a highly motivated scientist with expertise in crop modeling, remote sensing, and geospatial
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will actively participate in research, teaching, and administration, which includes: Research on Taste GPCRs: Investigating the molecular mechanisms of G-protein-coupled taste receptors (GPCRs). Analysis
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 10 hours ago
the western United States. The project will provide hands-on experience in satellite remote sensing, geospatial analysis, wildfire science, and multi-sensor Earth observation, complementing the participant’s
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 17 days ago
investigators, including remote sensing reflectance, absorption, scattering, particle size distributions, and phytoplankton community composition. Develop remote sensing approaches to track particle sources and
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-based instruments for applications across a wide range of disciplines including adaptive optics, spectroscopy, biophysics, remote sensing, laser communications, and fusion diagnostics. We host the ESA
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consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ and remote sensing data from
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ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 14 days ago
libitum’ data. Experience in collecting and/or analyzing survey data (CT, PAM, Telemetry) Experience in remote sensing Organization skills, reliability, and a thorough work style with attention to detail
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dynamics in anthropogenically altered drylands. The lab uses a variety of field ecological, remote sensing, and laboratory-based approaches to assess vegetation growth and functioning along environmental