11 parallel-computing-numerical-methods-"Simons-Foundation" research jobs at California Institute of Technology
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and tuning. Moderate research project experience training large-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain
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project experience training large-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain expertise in areas like computational
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-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain expertise in areas like computational fluid dynamics, material
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expertise in Rock mechanics, Earthquake physics, and thermo-poro-elasticity. Experience in scientific programming (Python, Julia) and numerical modeling. Excellent written and verbal communication skills
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intramolecular analyses of complex organic compounds. Experience with the application of computational chemistry methods to problems in isotope geochemistry. Familiarity with custom instrumentation design and
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for characterizing different aspects of the long-range dual-rail transmon device. In particular, focus on developing robust methods to analyze qubit frequencies, dual-rail transmon parameters, single and two-qubit
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the lab’s research program. Essential Job Duties Lead the construction of an experimental system simulating post-impact conditions of early Earth atmospheres. Develop custom-designed tools to study the post
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on the ability to share ideas in a collaborative setting. Preferred Qualifications Proficiency in coding with Python. Familiarity with PostgreSQL. Experience submitting batch jobs in a cloud computing environment
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Qualifications Proficiency in coding with Python. Familiarity with PostgreSQL. Experience submitting batch jobs in a cloud computing environment Comfortable using tools like Zoom, Slack, Jira, GitHub
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The research group of Sergei Gukov at Caltech is seeking a Post-Doctoral Researcher to join our new team. The selected candidate will contribute significantly to a focused research program in Artificial