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scientific-computing environments, such as Python, MATLAB, Julia, C/C++, or comparable tools. Interest in connecting theory and computation with experiments, materials, structures, or multiphysics when
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R, Python, or similar tools. Familiarity with plant growth chamber experiments, controlled inoculation systems, or compartmented experimental designs. Experience integrating multi-omics datasets
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approaches for studying electrochemical systems or phenomena Technical proficiency in programming, data processing, and scientific instrumentation (e.g., Python, MATLAB, LabVIEW) Ability to collaborate
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