20 machine-learning-"I" Postdoctoral positions at National Energy Technology Laboratory (NETL)
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
of Yuhua Duan. This project will be hosted at the NETL Pittsburgh, PA campus. Although material modeling with artificial Intelligence/machine learning (AI/ML) applications and experimental instrumental
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, are considered. The participant will gain experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
models into IDP research software; and (3) take part in the improvement of user interface and user experience of IDP research software. Through this project, the participant will learn how to: (1) conduct
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. The researcher will gain an educational experience in multi-scale computational modeling and machine learning of mechanical behavior of high temperature alloys. They will be a part of interdisciplinary team and
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
The ideal candidate would have some, but not necessarily all, knowledge of and skills in: Familiarity with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order
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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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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-FRP How to Apply Please visit https://orise.orau.gov/netl/ to learn more about the program and the application process
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 6 hours ago
migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir
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of engineered processes. Selected candidates will be aligned with a specific research project, where the specific technical learning objectives vary. They could include a learning variety of experimental