Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
-
on electrocardiogram-language models with a purpose to develop performant models that can understand electrocardiograms and text, followed by a formalization of the method through publications and such other tasks
-
on electrocardiogram-language models with a purpose to develop performant models that can understand electrocardiograms and text, followed by a formalization of the method through publications and such other tasks
-
, identifying opportunities for improvement in content and feature design, coordinating efforts to implement the changes and track their impact on student learning. Apply learning science models (e.g., learning
-
Office in support of the College’s financial planning process; provide similar support for departmental accounts as needed. Perform forecasting and scenario modeling to inform strategic decision-making and
-
Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments. Modeling dynamical systems
-
, repair and alteration of opera costumes the Costumer will also create and implement plans for the successful load in, daily support, and load out of the production. Based upon professional models
-
learning science models (e.g., learning curves, item response theory, knowledge tracing) to track skill growth and predict mastery. Identify where learners struggle and what drives retention, progression
-
and timely financial statements and reports for college and university leadership Collaborate with FP&A to develop models for indirect cost recovery and support college financial sustainability
-
. Modeling dynamical systems Designing and extending algorithms grounded in probabilistic machine learning Applying statistical techniques to assess robustness and generalization. Development of methods