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Field
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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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NCCL. Knowledge of high-performance computing and its applications. Additional Information: Applicants cannot have received their Ph.D. more than five years prior to the date of application and must
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Performance Computing & Linux • A proven track record of peer-reviewed publications Preferred Qualifications • Experience with US3D CFD software • Experience developing numerical CFD methods for integration
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(100% FTE), 12-months/year, with an initial term appointment of ~4 years (48 months), renewable depending on funding and/or satisfactory performance. Start date The start date is negotiable and the
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environmental conditions. Our lab is equipped with state-of-the-art facilities, including multimodal laser-induced shock waves, terahertz spectroscopy and imaging, high-resolution and high-speed digital image
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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performs scientific research and studies under the supervision of managing staff. Moreover, the Post Doctoral Associate promotes institutional recognition through literal contributions to the scientific
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support staff, and allied faculty researchers. Uses computers and technical equipment to perform data analysis, statistical analysis, and technical evaluation of air quality, weather, and related data
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks