Sort by
Refine Your Search
-
computational and statistical machine learning, optimization, and algorithmic decision-making. We value both methodological advances and rigorous applied research on AI that help organizations improve
-
graduate teaching programs. We particularly value candidates whose research incorporates emerging technologies, including AI, machine learning, or FinTech, or who can contribute to teaching in these areas
-
interest to include materials, environmental science and application, synthesis, heavy metals, AI/machine learning, and radionuclides. The Department has teaching needs in our graduate and
-
return on investment ( ROI ). Predictive Modeling: Develop and maintain propensity models (e.g., likelihood to give, retention risk, major gift pipeline identification) using statistical and machine