22 phd-machine-vision 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
, seismic, and completion data. Integrate machine-learning and data-driven techniques for reservoir proxy modeling. Additionally, you will have the opportunity to: Collaborate with cross-disciplinary teams
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 months ago
. The ideal candidate would have some, but not necessarily all, of the following: 1. A PhD in Chemical Engineering, Material Science, Chemistry or a related discipline; faculty member at an accredited college
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
an accredited college/university. Potential participants should have: PhD in petroleum engineering, civil engineering, geoscience, applied mathematics or a related field. Previous research experience on reservoir
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. Application deadlines vary by opportunity. PhD candidates interested in a collaborative thesis project may be eligible for DOE's Office of Science Graduate Student Research Program . Duration: Appointment
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 6 hours ago
, the program administrator, or any other office or agency. Qualifications The ideal candidate would have some, but not necessarily all, of the following skills: A PhD preferably in Petroleum Engineering or a
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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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, 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
machine learning to a challenging real-world problem; (3) gain knowledge of data needs for the energy industry; and (4) collaborate and communicate with an interdisciplinary team to extend an existing
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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 | 20 days ago
and well-defined infrastructure for high-fidelity physics-based computer simulations, is an ideal testbed platform. Models of the MDC will be simplified into static and hybrid reduced-order models (ROMs