Sort by
Refine Your Search
-
are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
-
, including chemicals, compressed gases, and vacuum hazards. Familiarity with relevant safety regulations and standards is expected. • Excellent communication, interpersonal, and teamwork abilities to interact
-
models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
-
sense of community across diverse members (i.e., students, staff, faculty industry collaborators), manage conflict effectively, and exercise clear and balanced decision-making. -Demonstrated exceptional
-
: Student Conduct strives for students to feel heard and valued. We respect that everyone is a unique learner and challenge students to embrace a commitment to holistic learning. We strive to create
-
to others. Our culture is defined by a commitment to our aspirations for student learning. 3) The TEAM: Student Conduct strives for students to feel heard and valued. We respect that everyone is a unique
-
structured and unstructured datasets such as multimodal data and remote sensing data. • Ability to engage effectively with stakeholders through outreach, extension, and engagement activities. Overtime Status
-
at #3 nationally in the Electrical and Electronic Engineering category. The department has some of the nation’s best programs in the areas of fiber optics and photonics, space science and remote sensing
-
-based models, and remote sensing technologies. Required Qualifications • Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must
-
Sensing of Neutrinos (QuSen) project sponsored by DARPA. The successful candidate will conduct research in the areas of computational physics with the goal to develop a framework for understanding excess