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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas hydrate reservoir. Learning opportunities will be given on the area of laboratory
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 12 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 12 hours ago
reservoir parameters (e.g., porosity, permeability) and quantify subsurface uncertainty through stochastic methods. Build 3D geologic and petrophysical models of oil and gas reservoirs using well logs, core
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drawing a given example contour on a graphic tablet. Nevertheless this has been proved much challenging when controlling expressive intonation patterns, and when control was done spontaneously (without any
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example contour on a graphic tablet. Nevertheless this has been proved much challenging when controlling expressive intonation patterns, and when control was done spontaneously (without any reference) in
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positions are flexible in terms of research direction within 3D vision and graphics with a heavy focus on cutting-edge deep learning-based techniques. We are particularly interested in static and dynamic 3D
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networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted
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networks for cancer metabolism, which further plays an important role in the development of novel cancer therapeutics. The Lee lab research tools include mammalian cancer cell lines, 3D organoid, xenografted