-
the requirements set forth in CSU Executive Order 1083 as a condition of employment. This position may be a "designated position" in the California State University's Conflict of Interest Code. The successful
-
condition of employment. This position may be a "designated position" in the California State University's Conflict of Interest Code. The successful candidate accepting this position may be required to file
-
teaching in areas such as AI in Business Analytics, Generative AI and Business Decision-Making, Optimization, Predictive Analytics, Stochastic Processes, Data Mining, and Data Visualization. Teaching will be
-
. Relevant AI-enabling research areas may include, but are not limited to, reaction discovery and optimization, synthesis planning, catalyst and reagent design, mechanistic analysis, and prediction or control
-
; data assimilation; scientific machine learning and AI applied to wildfire prediction; smoke and fire-atmosphere interactions; and experimental or observational approaches supporting wildfire model
-
opportunities for operational improvements and infrastructure modernization. Utility Infrastructure Operations & Maintenance Establish and oversee preventative, predictive, and corrective maintenance programs
-
quality and accessibility, and advancing predictive and diagnostic analytics capabilities. Working closely with HR leadership, HRIS, and Information Technology Services, the Director of People Analytics and
-
engagement, utilization, and measurable learning outcomes. Demonstrated expertise in using student success analytics, predictive indicators, and institutional data to inform strategy, improve services, and
-
populations, and supporting leadership onboarding. The AVC champions evidence-based approaches that equip universities with predictive analytics, integrated student support models, and regionally responsive
-
, applied robotics, machine learning, predictive analytics, large language models, and neural networks) that can be applied to one or more of the following areas: digital archaeology, remote sensing