11 electronic-structure-theory Postdoctoral positions at University of Houston Central Campus
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working at the intersection of computer vision, and 3D AI for the built environment. Our goal is to transform how physical environments and infrastructure are captured, analyzed, and monitored using
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Postdoctoral Fellow to join the team. The research aims to study laser-induced electronic and structural dynamics of photoresponsive materials, molecular thin films, and interfacial systems. The experimental
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. This position is part of an interdisciplinary effort to understand how forest structure affects seismic wave propagation and coseismic landslide triggering, with an initial focus on mountainous landscapes along
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effectiveness of drug therapies on using large-scale observational electronic health record data and local electronic health record data. The fellow’s responsibilities include analyzing large-scale observational
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of therapeutic proteins targeting fibrotic and angiogenic pathways in ocular disease. This includes structure-guided engineering of extracellular matrix mimetics, such as decorin and lumican variants, and de novo
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-ray synchrotrons and the Linear Coherent Light Source’s X-ray free electron laser to access world-class capabilities for Resonant Inelastic X-ray Scattering (RIXS). A major goal of the eXn group is to
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molecular biology, vector engineering for non-viral gene therapy, electrophysiology, Optical Coherence Tomography (OCT), fundus imaging, light and electron microscopy and protein chemistry. This position
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qualification and can be discussed directly with Dr. Na Zou. To apply, email CV and contact information of three references, unofficial transcripts to Na Zou at nzou2@uh.edu. Responsibilities • Lead research
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supervision conferring with higher levels only in unusual situations. 8. Performs other job-related duties as required. The ideal candidate will have a strong foundation in electronic system integration
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. • Publish research findings in high-impact journals and present at relevant conferences. The qualifications include: 1. Ph.D. in Computer Science, Computer Engineering, or related fields 2. Prior research