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, and data visualization. Knowledge, Skills and Abilities Strong proficiency in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, matplotlib/seaborn) and data visualization tools
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Qualifications (Not Required) Python proficiency (e.g., pandas/polars; data cleaning; visualization). Experience with databases (SQL), APIs, Git/GitHub, or cloud platforms. Interest in responsible/ethical AI
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standards. -Experience with data visualization, automation, and software development for data science. -Knowledge of crop modeling, simulation tools (APSIM, DSSAT, APEX), or digital twins is a plus. -Strong
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prototype software and visualizations to enable the application of new or existing data processing algorithms to various types and sources of data Prepare presentations, publications, and reports
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workflows. ● Support dashboard development and data visualization for reporting and decision-making. Conceptual Design and Evaluation Strategy ● Assist with instrument development and refinement, including
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collaborative research programs across the Colleges of Science, Health Sciences, Engineering, and the School of Pharmacy; secure extramural funding independently or collaboratively; publish in high-impact peer
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Omics Unit within the Department of Biological Sciences. They are expected to participate in collaborative research programs across the Colleges of Science, Health Sciences, Engineering, and the School