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computing and/or cloud computing; familiarity with Earth system models through model development, model execution, and/or model performance diagnoses; applied mathematics methods such as machine learning
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Classification Title: Postdoctoral Associate Classification Minimum Requirements: PhD in statistics, data science, business analytics, sports analytics, operations research, computer science, or a
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version control ● Experience working with large datasets and cloud computing environments. ● Solid background in statistical modeling and inference ● Excellent written and oral communication skills, with a
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 21 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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safety, productivity analysis, quality control, project monitoring, prefabrication, modular construction, or infrastructure management. • Familiarity with GitHub, Docker, ROS, cloud computing, databases
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extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related
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devising solutions to these problems. ● Experience with GitHub Actions, GitLab CI, or similar CI/CD systems ● PhD in Computer Science, Scientific Computing, Data Science, Informatics, AI/ML, or a closely
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of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data