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Liu at UA Department of Geography and the Environment. The postdoctoral scholar will lead sediment remote sensing algorithm and foundation model development and implementation, remote sensing and field
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
colleagues in Belize. The goals of this work include: * Classification of water quality conditions in inland aquatic and marine environment using remote sensing and in situ method * Further advance
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
learning tools to do snow parameters retrievals. Current projects in our lab range from theoretical and experimental atmospheric science into radiative transfer, climate dynamics, remote sensing of the land
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The MarSens (Marine Optics and Remote Sensing group, https://www.marsens-ugent.be/ ) investigates
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working at University of California Riverside More Jobs from This Employer https://main.hercjobs.org/jobs/21923204/postdoctoral-scholar-in-remote-sensing-of-biotic-stress Return to Search Results
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 2 hours ago
in physical sciences or engineering-physics, experience with retrieving vertical profiles of constituents in the stratosphere with passive remote sensing techniques and excellent written and verbal
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analysis by integrating diverse datasets (e.g., in situ observations, remote sensing products, model simulations) to inform model development, calibration, and validation. Collaborate with a
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around several major areas that aim to ensure the challenging Food and Water security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data