Sort by
Refine Your Search
-
the development of image/signal processing algorithms from a multidisciplinary approach, to include multiple sensor modalities. These multidisciplinary research opportunities incorporate theoretical and
-
candidates to participate in a 10-week summer program scheduled from May 24 until July 31, 2027 (approximate dates). May 24-28th will be conducted virtually. As a selected intern, you will receive a funded
-
control systems and thermal protection for on-board actuation systems. The candidate will have a deep knowledge of smart material based actuators, mechanisms, advanced control algorithms, and thermal
-
growth characteristics, irrigation scheduling, and others in relation to final peanut yield and quality. Participating in planting, collecting and analyzing plant and soil samples soil samples as
-
environments with variable conditions and flexible schedules. Experience in avalanche forecasting operations. Stipend $89,566.56 – $109,566.56 Yearly Eligibility Requirements Citizenship: U.S. Citizen Only
-
of government-based scientific research. Weekly mentoring meetings will be scheduled to support your professional development. Projects will be coordinated with SRS staff who have decades of experience delivering
-
. However, many routine administrative tasks—such as data entry, reporting, documentation management, scheduling, and compliance tracking—remain largely manual, creating bottlenecks that reduce available time
-
investigation and developing software algorithms and techniques to support human or machine information interactions for the purpose of information retrieval/dissemination, analysis and/or decision making
-
algorithms) that enable rapid creation of new high-fidelity multi-scale/multi-physics computer models of materials capable of utilizing modern extreme-scale computing environments. The success of multi-scale
-
and often different from the canonical types of data used to benchmark machine learning (ML) algorithms. In this opportunity, we will be evaluating how state-of-the-art ML techniques can be used