Sort by
Refine Your Search
-
challenges facing the nation. ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee
-
radioactive materials. As part of our team, you will apply critical thinking, technical analysis, program coordination, and project management skills to address complex transportation security challenges
-
, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high-performance interconnects (e.g., InfiniBand). Active DOE Q, active DOD Top Secret, or active DOD TS/SCI clearance
-
, artificial intelligence, or machine and reinforcement learning applications for power systems. Experience contributing to successful research proposals and sponsored R&D programs. Demonstrated ability
-
team Excellent communication skills as evidenced by previous reports, papers, and presentations Preferred Qualifications: Experience developing funded research programs Experience applying advanced
-
for building system dynamics models and for converting those models into probabilistic programs so their parameters can be inferred from data. The successful candidate will extend the mathematical and
-
organization. Facilitate or participate in event critiques, causal analyses, and corrective action plan development. Assist with the implementation of Integrated Safety Management (ISM) into the work planning
-
support enrichment technology programs. This position requires strong knowledge of warehousing processes, configuration management principles, quality assurance, and ERP (Enterprise Resource Planning
-
completed within the last 5 years or expected to be completed soon. Expertise in AI/ML methods in an environmental or Earth science context Experience programming in Python or related languages A strong
-
environment concepts Experience with code reviews, code quality, CI/CD tooling, GitOps, SCM (e.g. GitLab) Ability to identify requirements and to define, plan, and implement requisite solutions for small and