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Rasch tables using time calibrations, and documenting and manualizing the algorithms and related products. The post-doctoral associate will be part time, 12-month employee of the University of Minnesota
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sampling), biogeochemical/physical process-based model, advanced AI algorithms, and top-down atmospheric inversions. Tasks Include: Developing AI-ready benchmark datasets to aid in the AI algorithms
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or education Familiarity with Qualtrics and Inquisit for data collection Proficiency with data pipeline management, including cleaning and coding algorithms (e.g., Python) Familiarity with psychometric analyses
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machine learning algorithm being tested as part of the research project. The employee will expect to preform other duties as assigned which could include data entry, data quality control, periodic support