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fellow to investigate molecular mechanisms underlying lung infections (viral or fungal) and chronic lung diseases such as asthma. Research in the Chen lab is currently supported by multiple NIH R01 grants
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, Optical Sciences, and Planetary Sciences. We provide direct access to various world-class observational and computational facilities for ground-based radio and optical observing. Outstanding UA benefits
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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
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of our research program is to understand the neural circuits that underlie cognitive and emotional behavioral decision-making. Many of our research projects are focused on neuromodulatory circuits such as
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the Roman Coronagraph and future missions to image exoplanets such as the Habitable Worlds Observatory and other space telescope concepts. UA/SO offers a world-class research environment in ground and space
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atmospheres. Research areas include hydrodynamic atmospheric escape from rocky exoplanets, nitrogen and sulfur cycling on early Mars and Earth, chemical kinetics of early Earth, Venus, Mars, and analogous
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Shaowen Bao. The purpose of this position is to conduct investigation of the mechanisms underlying noise trauma-induced neuronal death using advanced molecular, cellular and electrophysiological techniques
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is seeking multiple postdoctoral fellows to investigate molecular mechanisms underlying lung infections (viral or fungal) and chronic lung diseases such as asthma. Research in the Chen lab is currently
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therapy–induced cardiac toxicity, with a specific focus on DNA damage response (DDR) signaling pathways. The ideal candidate will have demonstrated expertise in DNA repair mechanisms, radiation biology, and
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. Contribute to grant writing. Minimum Qualifications PhD in computer science, computational biology, or related field. Dissertation must have focused on development of neural networks for analysis of proteins