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Language Models (LLMs). Distributed Machine Learning: Specialization in data parallelism, model-parallelism, and collective communication strategies in large-scale environments. Proficiency in frameworks
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 6 days ago
distribution on a global scale. This project will focus on developing a strategy to best utilize this data in a global atmospheric data assimilation framework. Activities that would be involved in this project
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
permeability of fluid flow through hydrate-bearing sediments, • High resolution visualizations of hydrate distributions and fluid migration in porous media under in situ conditions, and • Machine learning
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 hour ago
on geomechanical stress-strain measurements, • Water conductivity and relative permeability of fluid flow through hydrate-bearing sediments, • High resolution visualizations of hydrate distributions and fluid
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-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
world. Position Summary The postdoctoral researcher will conduct advanced research in artificial intelligence (AI) and machine learning, with a focus on developing novel algorithms and systems. The position offers
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computing), EMT simulations, and power electronics control. Major Duties/Responsibilities: Develop electromagnetic transient (EMT) models for transmission or distribution grids, synchronous generators, large
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will contribute to high-impact projects, including: 1. Developing and validating algorithms that extract data from the Epic EHR (e.g., large language models) via comparison with manually extracted data
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demand forecasting or behavior modeling Computing & Data Systems Cloud computing (AWS, Azure, GCP) Big data pipelines, distributed computing, and geospatial data processing Python, R, SQL/NoSQL