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(ggplot2), Python (matplotlib, seaborn), or web-based platforms. The individual will translate complex analytical results into intuitive visual formats for manuscripts, presentations, lab meetings, and
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to mentor student assistants and provide regular constructive feedback toward identified program goals. Willingness to learn more about digital scholarship tools and applications, such as Python, R, GIS, and
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. Programming experience in at least one computational language (C/C++, Perl, Python, or Java) for the purpose of real-time data analysis. Knowledge of network systems/operating systems supporting applications
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programming in Python. Experience with ML frameworks such as PyTorch. Experience with design, evaluation, testing, extensions to Large Language Models (LLMs) that are open source and large multi-modality ML