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Field
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The National Energy Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivatedPostdoctoral Researcher - HPC Workflow Performance (NESAP/NERSC) to join the Workflow
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applications as well as to continuously develop the technologies necessary for the next-generation computing infrastructure. ・Next-Generation HPC Infrastructure System Development Unit (Unit Leader: Ke
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for a postdoctoral research position in the fields of linear algebra and high-performance computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects
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our growing research team. These positions focus on developing next-generation AI and high-performance computing (HPC) methods for computational imaging and spatiotemporal data analysis. We
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-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency and reliability of scientific discovery
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included by harnessing high-performance computing (HPC) and employing novel multiscale methods that enable seamless propagation of ultrasound from the macro to microscopic level. The proposed framework will
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are looking for highly talented developers with experience and interest in state-of-the-art technologies, high performance computing (HPC), memory management, and dev-ops. You will enjoy being part of a world
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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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dynamics simulations, and some familiarity with quantum mechanics calculations. Proven high-performance computing (HPC) experience and proficiency in Python are essential for success in this role. You will
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expertise in key machine & deep learning frameworks and toolsets. Experience in GPU computing, HPC, Containers & Image processing tools would be appreciated. A strong track record of publications in high