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Field
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preferences will be given to candidates: • with experience in Machine Learning and/or Partial Differential Equations and/or Numerical Analysis, • with a successful research record, • able to develop
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are As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through
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stage of an academic or biomedical research career. Key Responsibilities: 20% – Experimental Research, Project Development, and Data Analysis · Design, plan, execute, and analyze experiments
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
characterization of hydrate bearing sediments, numerical reservoir simulations for gas production and machine learning application, and basin petroleum system modeling and data analysis, depending on qualification
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 18 hours ago
their natural environment under natural conditions and production scenarios. RIC supports major gas hydrate production field tests by providing numerical predictions on fluid migration, gas production, and
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FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel
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-doctoral researcher in the area of gravitational wave physics to join and extend our work in gravitational wave data analysis and our contribution to the LIGO Scientific Collaboration and Einstein Telescope
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that underlie astrophotonic applications demonstrated skills in devising and performing optical laboratory experiments demonstrated skills in scientific / numerical programming and data analysis excellent
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are As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through
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systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics and mathematical approaches to signal analysis