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of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
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Qualifications Strong expertise in agentic scientific machine-learning, advanced analysis of fluid mechanics, dusty plasmas, scientific computing, and multi-scale modeling methods are preferred
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analysis, scientific computing, PDE together with research experience in scientific machine learning, are particularly encouraged to apply. Required Application Materials Applications will be reviewed
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candidate will conduct model verification, sensitivity analysis, calibration, validation, performance evaluation, and troubleshooting. The position requires strong scientific programming and software
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, test, optimize, and document complex scientific Fortran code and use these capabilities to develop stable coupling interfaces among WASP, SWAT, and MODFLOW. The integrated framework should support