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-based, remote sensing and numerical model simulated data, the successful candidate will lead research on 1) developing new remote sensing theories and algorithms to monitor regional to global vegetation
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([email protected]). Minimum Education and Experience: The candidate must have a Ph.D. in a related field (e.g., Atmospheric Science, Earth Science, Environmental Science, Environmental Engineering, Remote
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Knowledge, Skills, and Abilities Ability to program/deploy/retrieve remote sensing units as needed for various research projects. Familiarity with MSQL, R, MS Office, and advanced Excel functions. Experience
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of Ecosystem Dynamics and Remote Sensing is seeking a highly motivated Postdoctoral Associate to lead research in modeling vegetation photosynthetic activities using space-borne LiDAR data. The successful
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Knowledge of plant breeding, plant genetics, plant pathology, remote sensing, high through-put phenotyping, entomology, soil science, weed science, advanced statistics, molecular biology, and plant genetics
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to alleviate stresses. Knowledge of remote sensing, drones and/or digital image analysis preferred, but not required. Equipment Utilized Word, Excel, SAS (or other statistical analysis software), OneDrive
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the law school has to staff the programs, and what makes sense for the RLS brand. This person will coordinate with, but will not be responsible for, Continuing Legal Education programs, and activities
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Knowledge of plant breeding, plant genetics, plant pathology, remote sensing, high through-put phenotyping, entomology, soil science, weed science, advanced statistics, molecular biology, and plant genetics
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the law school has to staff the programs, and what makes sense for the RLS brand. This person will coordinate with, but will not be responsible for, Continuing Legal Education programs, and activities
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high-level confidential direct patient care by assisting in the management of remote monitoring and remote interrogation of cardiovascular implantable electronic devices, wearable electronic devices