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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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of Optical Sciences is seeking candidates to fill a postdoctoral research position in computational imaging. Duties include design, construction and testing of array camera imagers, wavefront sensors and
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component analysis for information processing, 2) physics based generative models for end-to-end imaging, and 3) multi-modal/multi-sensor/multi-band super resolution data generation and fusion. Foster
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parity-check codes and iterative decoders, investigating applications of quantum error correction in quantum computers and networks. We are interested in candidates with strong expertise in burst error
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for growing bioenergy–sorghum focused. The role combines gene network modeling with ecophysiological modeling, integrating a wide variety of phenotypic data to improve bioenergy cultivation practices
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nuclear systems and neutrino dynamics. Qutrit-based and hybrid quantum-classical approaches for many-body simulations. Tensor network and entanglement-based methods in many-body physics. Knowledge, Skills
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conduct water budget analysis and project future water supply under various climate change and land use scenarios and provide guidance for designing an observational network in Arizona. This will be a great