Sort by
Refine Your Search
-
computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
-
of analytics into production systems Knowledge of experimental design, uncertainty quantification, scientific machine learning, or digital twin methodologies Experience collaborating across national laboratories
-
research team, you will play an active role in the search for neutrinoless double-beta decay of Ge-76 with the LEGEND-200 experiment, currently operating at LNGS, help lead the R&D, design, and
-
physics who are motivated to work across disciplinary boundaries and develop new experimental capabilities. Major Duties/Responsibilities: Design and conduct experiments combining nanoscale photonics
-
manufacturing technologies and manufacturing systems that could achieve transformative gains in process productivity and enhance manufacturing sustainability Strong analytical capabilities with an experience in
-
/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
-
the last five years. A minimum of 3 years of experience in (a) design and operation of experimental thermal/fluid systems, (b) mechanical systems and instrumentation, (c) fluid dynamics, combustion, and heat
-
and extreme environment structural materials. A strong background in mechanical behavior of materials is required. Demonstrated experience in the implementation of nonlinear constitutive models in
-
designing efficient and trustworthy ML algorithms for physical systems, scalable data loading and training methods for exascale computing platforms, and model verification and validation. The position offers
-
) Fixed-effects panel models Matching methods (PSM, CEM, nearest-neighbor) Regression-based normalization Longitudinal and cross-sectional data analysis. Experience working with large administrative