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Assessment reviews and complete annual Notable Outcome deliverables. Lead by example, promoting ORNL's "Research Code of Conduct" and fostering a respectful workplace. Basic Qualifications: BS degree and a
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clustered computing software solutions to researchers who process large data sets, run simulations, and develop scientific code as part of their projects. Design, develop, optimize, and maintain scientific
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control. Ensure drawings and designs are in full compliance with applicable engineering codes as well as environmental, safety, health, and quality program requirements. Direct and participate in
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of engineering calculations following standard methods and principles used in similar engineering analysis; Assure compliance with and understanding of industry codes and standard practices; AET resides within
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, sponsor relationships, industry partnerships, or new technical program areas. Recognized technical expertise related to CNC machine tools, machine controllers, G-code, CAM software, machining process
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depth with project delivery. Strong proficiency in automation and infrastructure-as-code frameworks (Ansible, Puppet, Salt). Advanced scripting or programming skills (Python, Bash, Go) for automation and
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experimental gradients Benchmark and stress-test model improvements against experimental datasets (e.g., SPRUCE, MOFLUX and related lab/field measurements), and publish open reproducible code and results Deliver
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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
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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
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: 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