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disorders. Specifically, we work on Niemann-Pick Type C, a fatal, progressive neurodegenerative disorder affecting children. We couple proteomic, lipidomic and MS imaging techniques with traditional
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sustainability of IoT ecosystems. As a Postdoctoral Researcher, you will: Develop and Prototype advanced thermoelectric modules utilizing n-type Mg3 (Bi,Sb)2 and p-type MgAgSb for efficient energy harvesting
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directly related to the type of work being performed. No experience is required. Additional Posting Information: NIH-funded projects on benchtop experimental/ prototype imaging system development and
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify
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opportunity to work on computational research related to one (or more) of the following areas: coastal dynamics (surf-zone to shelf), submesoscale processes, kelp-current interactions, or marine carbon dioxide
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strongly interdisciplinary. Specifically, our star technique is scanning electrochemical cell microscopy (SECCM) , a powerful electrochemical imaging technique for interrogating electrochemical processes
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metabolism impacts vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out
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issues. Position Description The position will support the operation and continued development of a center for high throughput x-ray crystallographic fragment screening (XCFS). The successful candidate
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image