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Field
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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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and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with
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and inference for distributed AI agents, and how the realities of networked operation shape the design of adaptive, resilient intelligence. Finally, the research will address how groups of embodied
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 8 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 2 months 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 9 hours 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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communications (ISAC) in distributed multiple-input multiple output (D-MIMO) systems for resilient and efficient intelligent transport systems (ITS) and 6G-integrated non-terrestrial networks (6G-NTN)! Chalmers
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(e.g., Python, Java, C++) and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with data structures, algorithms, cloud platforms, APIs, and deployment tools Familiarity with
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models; Learning with limited supervision; Generalisation beyond pretraining distributions The precise research agenda will be developed together with the successful candidate and may evolve throughout
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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