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that influence volatile organic compound (VOC) cycling in soil. The Postdoc will track the fate of VOC carbon soil incubations in the laboratory and plant rhizospheres in growth chambers. The Postdoc scholar will
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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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Qualifications PhD or MD conferred by the start date and 0-3 years of experience at Postdoc rank. Preferred Qualifications FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0
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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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learnings to related research. Ensure regulatory compliance of research activities. Participate in mentoring opportunities provided to postdocs locally at the college and across the university to further
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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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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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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