-
to increasing equity and inclusion in STEM education and workforce development; Knowledge of quantitative, qualitative, and mixed methods data analysis as it applies to education research data; and Knowledge
-
theory, methods, and systems for smart cropping decisions; Publishing and disseminating research at top-tier journals and conferences; and Supervising graduate research assistants and student interns
-
support and automation; Developing agriculture digital twin theory, methods, and systems for smart cropping decisions; Publishing and disseminating research at top-tier journals and conferences; and
-
field; PhD in physics or related field; A strong background in quantum many-body physics, either in analytical/field-theoretical methods or in numerical approaches; and Knowledge and research skills in