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Field
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The Postdoctoral Research Associate hired in this position will join the Department of Biological Sciences and BioDiscovery Institute (BDI). The Department of Biological Sciences (https://cos.unt.edu/biology/) is
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: Experience with electrochemical techniques applied to the characterization of interfaces and charge-transfer processes; nanostructured materials and thin films; surface functionalization and aptamer, antibody
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 11 days ago
are eager to contribute to cutting-edge, science-driven research. The successful candidate will play a dual role: contributing to the design, implementation, and optimization of current and next-generation
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these heterostructures, the electronic properties are strongly affected by interactions at the interfaces between layers. Charge transfer between materials can modify the electronic density and create new electronic
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will be given to candidates that are able to provide physics and optics expertise and at the same time, work specifically to integrate various new optical technologies into current systems. Candidate
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Dr. Playdon’s research, visit her faculty profile https://profiles.faculty.utah.edu/u6017378 . Details about the NIH-funded project (1R01CA313949) can be found on NIH RePORTER: https://reporter.nih.gov
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Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective
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In polymeric materials, a fundamental transition is required from synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover
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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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independent research aligned with the aims of the Addiction & Decision Neuroscience Lab (ADN). Current work focuses on cognitive modeling of decision-making in both laboratory tasks and real-world settings, as