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Field
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Position Summary The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https://highz-fic.github.io ), a Department of Energy (DOE), Predictive Science Academic Alliance Program
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therapies for the treatment of corneal diseases. One research program investigates the microenvironment/niche of human limbal stem cells to elucidate those factors that govern the fate of limbal stem cells
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 26 days ago
Employment Type: Permanent Staff (EHRA NF) Vacancy ID: NF0009437 Salary Range: Compensation for this position will follow the North Carolina Department of Public Instruction salary schedule found here: https
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis
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your bottom line. Total Compensation Calculator: http://www.cu.edu/node/153125 Equal Employment Opportunity Statement: The University of Colorado (CU) is an Equal Opportunity Employer and complies with
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Requirements: The candidate must be able to demonstrate a deep knowledge of supercomputing software development for massively-parallel computer architectures, and expertise in working with large-scale software
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-disciplinary research team, consisting of researchers in coil development, electromagnetic simulation, parallel transmit RF pulse design, pulse sequence development, advanced MR image processing, analysis and
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or life sciences, computer science or related field; PhD preferred Two (2) years to three years of experience in developing parallel computing applications, libraries or software tools working with
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successful candidate will develop a nationally recognized program that integrates research (60%) and Extension (40%). The ideal candidate will present a clear and compelling vision for establishing