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. Under the direction of the Principal Investigator, the Postdoctoral Associate will perform investigations on regulation of utilization of dietary fiber and host glycans by Hybrid Two-Component System
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, the Postdoctoral Associate will perform investigations on regulation of utilization of dietary fiber and host glycans by Hybrid Two-Component System (HTCS) transcription factors in Bacteroides. The research project
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, the Postdoctoral Associate will perform investigations on regulation of utilization of dietary fiber and host glycans by Hybrid Two-Component System (HTCS) transcription factors in Bacteroides. The research project
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including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods at the density-functional
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of transcription factors and the epigenome dynamics. The individual is needed to conduct research on questions related to transcription factor DNA-driven 3D epigenome dynamics in immune responses. By using genetic
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of areas including strongly correlated fermion materials, high-temperature superconductivity, topological electronic states of matter, developments and applications of computational methods
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interaction methods like the split ubiquitin yeast-two hybrid method and SIM microscopy training will be needed. The individual will report directly to the laboratory Principle Investigator (PI). The position
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. An important component of this position will be to work as part of an interdisciplinary team spanning across the colleges of engineering, medicine, and science. The successful candidate will be required to lead
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community scale building energy tools such as UrbanOpt o Strong quantitative research skills, with the ability to leverage these methods for decarbonization strategies o Fluency in task automation, data
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, electromagnetic, electrical, and electrochemical methods and devices, such as ultrasonic methods or GPR, 2) application of numerical simulation and artificial intelligence for advanced modeling and analysis