25 coding-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at National Energy Technology Laboratory (NETL)
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 5 hours ago
Autonomous Lab for Sensing Materials Development under the mentorship of Yuhua Duan. This project will be hosted at the NETL Pittsburgh, PA campus. Although material modeling with artificial
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 5 hours ago
: Currently pursuing or recently recieved an Associate's, Bachelor's, or Master's in Engineering, Materials Science, Chemistry, Physics, or a related field. Experience with data analysis and
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 2 months ago
hydrate bearing sediments, numerical reservoir simulations for gas production and machine learning application, and basin petroleum system modeling and data analysis, depending on qualification and
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 5 hours ago
hydrate bearing sediments, numerical reservoir simulations for gas production and machine learning application, and basin petroleum system modeling and data analysis, depending on qualification and
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to continuum, dislocation dynamics, phase field, crystal plasticity finite element method, physics-informed digital twins, and/or data-driven and deep learning-based digital twins. Stipend: The
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 5 hours ago
of Critical Minerals under the mentorship of Dustin McIntyre. This project will be hosted at the NETL Morgantown, WV campus. This project will involve the investigation of ore materials and liquids
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 5 hours ago
and gas reservoirs using well logs, core, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir proxy modeling. Additionally, you will have the opportunity
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, knowledge of and skills in: Ph.D. in Materials Science, Physics, or a closely related discipline. Research experience in dislocation modeling and simulation. Proficiency in machine learning
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
research capabilities of the AFERA approach and collaborate with other researchers in AI-based digital twin research for the Joule 3.0 MDC using advanced modeling and data synthesis techniques
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
last 60 months or currently pursuing. Discipline(s): Chemistry and Materials Sciences ( 12 ) Communications and Graphics Design ( 2 ) Computer, Information, and Data Sciences ( 17 ) Earth and