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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
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will teach two courses, one in our undergraduate program (TFDP 166C - Rewriting the Screenplay), and another in our MFA Program, (CWPA 268 - Writing the Half-Hour Television Comedy). We are particularly
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Fall 2026. Knowledge of parallel programming and experience developing methods for 2D and 3D problems are critical. Experience working with open source software frameworks and/or using modern open
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Position Summary The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https://highz-fic.github.io ), a Department of Energy (DOE), Predictive Science Academic Alliance Program
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-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain expertise in areas like computational fluid dynamics, material
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of interpretability methods to ensure ML outputs are meaningful in scientific contexts. Preferred: Background in biomedical data, healthcare, or AI for life sciences. Experience with parallel computing. Familiarity
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of scientific computing principles and applications, including numerical methods, simulation techniques, and computational modeling. Proficiency in using version control systems like Git for collaborative
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(multiscale, QSP, PBPK, PK-PD).Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data.Perform sensitivity and uncertainty analyses to assess robustness
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translational research efforts. May develop an independent research program focused on genetics of susceptibility to complex disease or on development of computational methods for genetic research. Contributes
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to address computational challenges in different scientific domains. The successful candidate is expected to design, develop, and integrate novel computational techniques, including software and numerical