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the Earth. This Software Engineer will collaborate directly with scientists to design, build, and enhance algorithms for detecting moving objects, particularly asteroids, in astronomical images
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with a custom code to develop all sky, point source subtracted images of GALEX data. These images will be combined with other sources, published on MAST, and incorporated into a paper. This will be used
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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
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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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the Department of Energy (DOE) for the first sponsored The ICDI Emerging Tech Postdoctoral Program. The selected candidate will work on an exciting interdisciplinary project focused on developing predictive models
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well as in generative techniques for multi-modal images. The incumbent will contribute to novel algorithm development, detailed performance characterization and analysis, and trade studies involving
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moisture, and terrestrial water storage change over Arizona under historical periods and future climates. Developing new ET products over Arizona with innovative algorithms and remote-sensing data
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existing remote sensing based algorithms, such as 3T, to estimate latent heat fluxes from thermal imagery and soil water balance. Develop and test upscaling methods to estimate whole-ecosystem transpiration
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. Support the development, testing, and maintenance of bioinformatics software and pipelines. Assist in the Implementation of algorithms and computational methods for data processing and analysis. Collaborate
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is to study the physics and correlated electron-nuclear dynamics in molecular systems under action of external electromagnetic fields. The incumbent will test the recently developed software package