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, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
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for SDA, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute
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domestic, one local). Monitor field instrument performance and troubleshoot issues. Lead efforts to gather, analyze, and interpret H2 and sensor data using findable, accessible, interoperable, and reusable
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and foster economic opportunity in Arizona and across the globe. This role supports irrigation research through field and laboratory work, primarily focused on soil and plant sampling, sensor
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employing standard and advanced statistical methods, including machine learning algorithms. The incumbent will also pursue independent research interests, secure extramural funding, and contribute to academic
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used to bed sensors. Ability to work for extended periods of time at remote sites. Ability to work in extreme weather conditions including high winds, temperatures above 100 degrees, temperatures below
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operate a real time VOC sensor (proton-transfer-reaction time-of-flight mass-spectrometer, PTR-ToF-MS) and analyze resulting data alongside genomic and metabolom. Outstanding UA benefits include health
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undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
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undergraduate students during summer months. Apply existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling
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engineering principles and software development practices to assist a Senior Software Engineer in the design, implementation, testing, and refinement of control algorithms and system interfaces that support