Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
. Masters and PhD degree holders in the same fields of study are also encouraged to apply: Masters’ holders should have a minimum of eight (8) to ten (10) years of relevant and aligned experience. PhD holders
-
, poisoning, and evasion attacks. Design platforms for threat modeling in AI systems, enabling comprehensive vulnerability assessments tailored to diverse use cases, from cloud-hosted models to edge deployments
-
., ML Ops for geospatial data, real-time analytics, cloud/HPC hybrid, edge geospatial compute, neuromorphic, quantum), pilot new capabilities, foster innovation partnerships (academia, industry, federal
-
of the future,” incorporating autonomous measurement, smart scheduling, and cloud-enabled analysis platforms. Enable the integration of AI/ML-assisted tools for experiment planning and execution, parameter
-
at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
-
centered on Microsoft Azure and related AI cloud technologies with High Performance Computing (HPC) for on premise AI environments and Azure, AWS, and GCP for off premise environments. Major Duties
-
mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: PhD in a computational discipline such as Data
-
software. Develop and document procedures for startup, execution, shutdown, backup, and recovery. Help maintain and manage cloud data and resources. Monitor systems performance. Deliver ORNL’s mission by