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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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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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, 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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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