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and discontinuous-Galerkin software in Python and related scientific-computing environments, including robust solvers, error assessment, and computational validation. Investigate the effects of grain
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: Strong programming experience in Python and/or R is expected. Experience with Linux/HPC environments, workflow development, statistical modeling, machine learning, and reproducible computational
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chalcogenide, two-dimensional, and/or III-V semiconductor materials is preferred. Programming experience in Python or experience with machine automation or AI/ML workflows will be an advantage
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microbiology, or mathematical modeling. Proficiency in R and/or Python for statistical analysis and data visualization. Experience with food manufacturing, fermentation systems, or food processing
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experience in Python is required, and familiarity with PyTorch or JAX is preferred. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s
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the following : Spatial analysis using GIS Quantitative disease modeling in R and/or Python And some command of at least two of the following: Statistics Data analysis Public health or global
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coupled multiphysics systems (FVM, FEM, XFEM); scientific programming (MATLAB, C++, Python); and high-performance computing. Experience bridging modeling and experiments is valued but not required
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, causal inference, and spatial statistics. Demonstrated proficiency in modern statistical and computational tools (e.g., R, Stata, Python). Experience working with large-scale administrative, survey, or big
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, fiber-matrix interface, electronics packaging, or high-performance thermoplastics such as PPS, PEI, PEEK, LCP, or related materials. Experience with DOE, statistical analysis, Python, LabVIEW, MATLAB
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. POSITION SPECIFICS The Medina group ( https://sites.psu.edu/medinalabgroup/ ) at The Pennsylvania State University has two open positions for postdoctoral scholars . Projects span a range of