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programming and data analysis using R, Python, MATLAB, or comparable platforms. Skill in oral and written scientific communication, as demonstrated through peer‑reviewed publications and conference
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sensitivity studies using synthetic and real-world data. Develop reproducible, scalable software in Python, MATLAB, and C++ for research and operational transition. Maintain version-controlled repositories
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systems, tree-ring standardization approaches, chronology development, and dendrochronology programs such as ARSTAN and COFECHA. Experience with a statistical programming language, such as R or Matlab
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