Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Position Type: This is a full-time temporary appointment for up to 36
-
full stack application and API development. Experience with CI/CD tooling, GitOps, and Kubernetes. Experience with code review and familiarity with tools like git, GitHub and GitLab. Preferred
-
: Infiniband, Mellanox, OFED, Voltaire, Force10 Proven experience in: HPC architecture and performance tuning Cybersecurity in HPC/cloud environments Infrastructure as Code (AWS, Terraform, Ansible, Packer
-
frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
-
of computational tools and code development, nuclear sensors and instrumentation, neutronics, thermal hydraulics, criticality safety, and nuclear data. The incumbent will be responsible for developing and executing
-
Operations Services Division in the Environment, Safety, Health, and Quality Directorate, at Oak Ridge National Laboratory (ORNL). Learn more about R&D activities in ISED here https://www.ornl.gov/directorate
-
Leadership: Maintain visible thought leadership and national/international recognition within your community by developing and leading R&D programs at the lab, delivering science artifacts (data, code, systems
-
frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis) Optimize simulation codes and workflows for leadership-class HPC
-
offered a salary at or near the top of the range for a position. Link to benefits. https://jobs.ornl.gov/content/Benefits/?locale=en_US Overview: The Center of Excellence for Thermal Energy Recovery and
-
Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
familiarity with AI/ML algorithms, for generative materials design, or for knowledge extraction, e.g. causal ML or symbolic regression, etc. Strong demonstrated background in coding for data analysis using