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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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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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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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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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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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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
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perform laboratory testing and characterization of infared sensors and laser systems. Background research on types of fog and the methods by which they are generated. Assist PI or Graduate Students with
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-scale AI infrastructure, resources, and tools for cutting-edge AI research. Support the development of software, algorithms, and data-driven models that enhance predictive capabilities and decision
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algorithms, their theoretical analysis and verification. This is a year-to-year appointment, contingent upon funding and performance. Outstanding UA benefits include health, dental, vision, and life insurance