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conduct research studies under the PI’s supervision, including designing and implementing experiments, performing statistical analyses, disseminating research through conference presentations and journal
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appropriate statistics (Gage R&R, repeatability, ANOVA), and producing publication-quality results A combination of education and relevant experience from which comparable knowledge is demonstrated may be
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Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods of research, testing and data
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods
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protocols, design and execute structured performance studies (e.g., sensitivity, specificity, robustness), and establish stability and shelf-life test plans with rigorous statistical analysis and traceable
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events. Maintain and perform analysis on large quantitative datasets; develop and implement statistical or machine learning models to recover patterns of technology adoption, task organization and skill