20 deep-learning Postdoctoral positions at National Energy Technology Laboratory (NETL) in mechanical-engineering
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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 18 hours ago
and deep learning-based digital twins. Stipend: The selected faculty participant will receive a monthly stipend commensurate with their institutional salary. Program Requirements: To document
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
modeling (ROM) Some experience with various programming tools (Python, MATLAB, C++, C) Some familiarity with machine learning: predictive modeling, anomaly detection, supervised learning, deep learning
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 18 hours ago
-pressure reactor design, safety protocols, instrumentation, and pressurization systems to examine real world, industrially relevant problems in geological hydrogen; and (2) learn the application
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 18 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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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 18 hours ago
. 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) | Pittsburgh, Pennsylvania | United States | about 18 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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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 18 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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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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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