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and machine learning methods—including large language models—into the visualization pipeline. Responsibilities Lead research projects within the intersection of data visualization, human-centered AI
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learning processes from a cognitive, embodied, and/or epistemic perspective Familiarity with design-based, quantitative, qualitative, or mixed-methods educational research A solid foundation in digital
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Experience with programming in Python, R, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an
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data visualization, with a track record of designing and building visualization dashboards. Research experience in human-centered AI, or in the integration of AI and machine learning methods into