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Field
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research proposal development. Responsibilities Research- Independently perform research within the multidisciplinary collaborative groups in Operational Data Science Lab. Research computer vision algorithms
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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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the readout manufacturer to adapt and refine the high-speed readout electronics and synchronization system for efficient electron detection. Implement and test real-time processing algorithms for high
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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external) provides algorithmic and data-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation
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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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algorithms for advanced and multi-modality imaging. Work on system designs, physics models, computation, benchtop experiments with small animals, and clinical translation. Additional areas of interest are in
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urban forest management. Develop, implement, and test signal and data processing algorithms to exploit various earth observation data in support of carbon/biomass mapping in temporal and tropical forests
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molecular biology. This research opportunity will be focused primarily on developing tightly integrated sequencing experiments and computational algorithms to characterize biomolecular interactions with high
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/processing algorithms. The candidate is expected to have motivations to learn new techniques and knowledge in computational biophysics, DNA biophysics, and bioinformatics. Demonstrated ability to work in a