37 computational-geometry-graphics Postdoctoral positions at The University of Arizona
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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 the serotonergic
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-temperature aqueous chemistry that occurred within asteroids in the early solar system. We seek a postdoctoral candidate to work within our planetary materials research group performing computational thermodynamics in
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experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Presenting results at national conferences. Leading the development of manuscripts with the aim
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Highlights The University of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses
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of Arizona's Department of Psychology invites you to apply to the role of Postdoctoral Research Associate I. This position will develop and refine computational approaches, analyses, and neural circuit models
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world-class observational and computational facilities for ground-based radio and optical observing. Start dates range from March 2026 to August 2026. Outstanding U of A benefits include health, dental
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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. Observational facilities
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with an ambition to someday become an independent principal investigator running an extramurally funded research program. Responsibilities include: Carry out hypothesis-driven research projects, generate
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-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials, or device fabrication and
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on semiconductor devices for next-generation computing, including quantum emitters and neuromorphic transistors. The ideal candidate should have a strong background in solid-state physics, electronic materials