Sort by
Refine Your Search
-
people in the Northern Virginia region. This position will support several stakeholder-driven projects, with the overall goal of developing novel analytical and modeling approaches for PFAS source
-
of data science, operations research, and health technology. Because of the interdisciplinary nature of the position and opportunities for immediate leadership and cross-college opportunities, preference
-
, sustainable materials, or engineering to contribute to our ongoing research on improving the hygrothermal performance, structural modeling, and durability of CLT, including hybrid and thermally modified wood
-
, results-driven environment. Preferred Qualifications Bachelor’s degree in Mathematics, Economics, Statistics, Business, Sports Management, or a related field. Experience working within intercollegiate
-
control, Large-scale or distributed optimization for complex aerospace systems, Machine learning, reduced-order modeling, surrogate modeling, and data-driven approaches with applications to aerospace
-
responsible for working with stakeholders to capture requirements and feature requests that drive IAM implementations, partnering with test engineers and developers to define behavior-driven development feature
-
, a MS in Data Science, a BS in Computational Modeling and Data Analytics (CMDA), and a Data and Decisions minor. The Academy of Data Science provides a collegial environment and values