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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
. Position Summary This Postdoctoral Research Associate will be focused on developing polymer materials for applications in energy and environmental sustainability with the Guo Lab at UNC Chapel Hill
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Applicants must hold a PhD in Chemistry or a relevant subject area, (or be very close to completion) prior to taking up the appointment. The research requires experience in polymer synthesis from both
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Job related to staff position within a Research Infrastructure? No Offer Description Work group: HIPOLE: Helmholtz-Institute for Polymers in Energy Applications Jena (HI-POLE) Area of research
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
phase synthesis of advanced polymer catalyst thin films for the conversion of small and low-energy molecules into advanced chemicals and fuels. The postdoctoral researcher will work on the oxidative
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. These materials can be ceramics or polymers. The material chosen in this study is commercial PZT ceramics. To efficiently use the available mechanical energy in tires and induce strain in
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harvesting is the piezoelectric effect. Materials which show piezoelectric properties transform strain variation into electrical charge. These materials can be ceramics or polymers. The material chosen in
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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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engineering polymers from recycled plastic feedstock. You will utilise pre-existing modern metrological methods such as MT 2.0/VFM to obtain rich datasets from a relatively sparse set of tests on recycled
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chemistry as the project demands. Minimum Qualifications A Ph.D. in organic chemistry and experience with polymer-supported oligosaccharide synthesis are required. The position requires the skills
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Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials for electrochemical energy applications, with particular emphasis on polymer