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with integrated circuit design processes, flows, CAD, and EDA tools. Experience with x-ray scattering or imaging. Synchrotron experience is preferred. OTHER INFORMATION: Initial 2-year term appointment
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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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equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in computational sciences, materials science
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, imaging techniques, and bioinformatic analysis. Successful applicants will need to work both independently and collaboratively, to exhibit excellent skills in scientific communication, and dedicated
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/Credentials/Licenses A PhD degree in Chemistry, Physics, Chemical Engineering, Materials Science, or related Disciplines. Computer Skills Basic computer skills, including proficiency in MS Word and PowerPoint
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healing, and nuclear mechanosensing. The successful candidate will have established experience in the following areas: (a) imaging techniques such as fluorescence, confocal, and multi-photon microscopy, (b
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days 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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour 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
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A postdoc position is immediately available at the Advanced Photon Source of Argonne National Laboratory. This position will involve developing X-ray coherent scattering imaging techniques
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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