Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
illumination effects. Coordinate optical measurements with the imaging teams; provide calibrated data, metadata, and analysis to ORNL and university collaborators. Develop instrument-control and data-analysis
-
U.S. and international export control regulations, including all United States export agencies (Energy, Commerce, State, Nuclear Regulatory Commission, and Treasury) and international control regimes
-
engaging government agencies to capture sponsored research programs. Experience managing medium/large research projects and presenting project results. Experience managing/mentoring students or researchers
-
of compute- and data-intensive computing environments, partnering closely with system vendors, national laboratories, and the broader HPC research community to shape the trajectory of leadership computing
-
across ORNL’s high-performance computing classified ecosystem. Major Duties and Responsibilities: Provide technical leadership in the design, integration, and administration of large-scale Linux-based HPC
-
research user workflows. Preferred: experience with geospatial data workflows, including large geospatial/raster/vector datasets, spatial ETL pipelines, and performance considerations for geospatial
-
computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads. Optimize resource allocation for simultaneous testing tasks and real-time tracking
-
computing solutions to efficiently scale testing environments supporting large datasets and high-performance AI workloads. Optimize resource allocation for simultaneous testing tasks and real-time tracking
-
methodologies as well as subsized mechanical testing methodologies on highly irradiated materials (either using ions or research reactor irradiation data) for establishing performance envelopes for materials
-
) Fixed-effects panel models Matching methods (PSM, CEM, nearest-neighbor) Regression-based normalization Longitudinal and cross-sectional data analysis. Experience working with large administrative