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experimentalists and theorists. Essential Duties and Responsibilities: • Perform Resonant Inelastic X-Ray Scattering synchrotron experiments in the LCLS-II qRIXS Early Science program • Perform photo-luminescence
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, sequencing library preparation). Experience with analyzing microbiome data and/or analyzing sequencing data in a high-performance computing environment. Experience in BSL2 laboratory and familiarity with
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related field. Preferred Qualifications Experience with spatiotemporal analysis using R, Python, and/or comparable computer programming languages. Experience in high performance computing. Experiencing
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software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics
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datasets, including mass-spectrometry and DNA-sequencing datasets. Proficiency in Python or another general-purpose programming language and experience with high-performance computing. Publications in peer
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: 2023593 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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to support the design. Perform computational fluid dynamic, computational magnetohydrodynamic, thermal hydraulic, and mass transport simulations of tritium breeding blanket designs. Collaboration with a broad
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assignment extension contingent to performance and/or funding availability. We seek a highly motivated postdoctoral researcher to join our interdisciplinary research group investigating the interface between
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thorough investigation of background information pertinent to the research program and an ability to understand the theoretical basis of the work being performed. Under the guidance of the faculty mentor and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
: Familiarity with ice-ocean interaction physics or polar oceanography. Experience with high-performance computing, GPU-accelerated models (e.g., Oceananigans.jl), or advanced flow measurement techniques (e.g