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will focus on the development of GPU-accelerated GPAW software based on density functional theory (DFT) for constant-potential calculations within a plane-wave framework. The developed software will be
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. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different
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interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team. Position Summary: As a senior research scientist with proven expertise in advanced
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power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and different applications of EMT simulations. Selection will be based
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machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
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to push the boundaries of what’s possible. We work with petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing thousands of high-end GPUs. We don’t
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are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day
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are essential. Multitasking, ability to work with different teams and with varied customer needs. Ability to gather data about the use of HPC systems, analyze the data and prepare reports for leadership. Ability
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machine learning pipelines, with GPU-accelerated environments tailored to foundation model training, data harmonization, and predictive analytics. The Center is embedded within the UC Davis ecosystem, with
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connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS. The center fellows will have access to a 70,000-core Infiniband Cluster