Sort by
Refine Your Search
-
technical leadership to engineers, architects, and researchers who: Design, develop, and manage scalable data pipelines, systems for large-scale data ingestion, transformation, and delivery, and advanced data
-
Laboratory (ORNL). This role advocates and promotes HPC and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. This includes ensuring
-
provides technical oversight and management of laboratory research facilities, office facilities, and structures to support the ORNL site. Major Duties/Responsibilities: Gather asset data for equipment and
-
the systems from inception to retirement. Major Duties/Responsibilities: Advocate and promote HPC and clustered computing services to researchers who process large data sets and/or develop code as a part of
-
algorithms and techniques for advanced manufacturing applications. The group consists of highly talented experts in image/signal processing, mechanical engineering, data analytics including artificial
-
adversaries. Our directorate houses S&T leadership in cybersecurity and cyber-physical resiliency, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing
-
Responsibilities: Participate in the design, development, implementation and maintenance of user interfaces and data acquisition system software applications. Develop, test, and verify software drivers
-
ORNL’s leadership in human dynamics, including population modeling, mobility analytics, geospatial data modeling and conflation, and critical infrastructure risk and resilience modeling. The Section Head
-
experience at large-scale scientific facilities (e.g., accelerator, neutron scattering, nuclear research). Familiarity with maintenance activities in a nuclear operating environment and regulatory programs
-
them the ability to work with classified systems and information. Major Duties/Responsibilities: Work independently to provide quality assurance support for implementation of a graded approach to quality