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coding (Python) for building energy modeling and controls Preferred Qualifications: Expertise in modern optimal control techniques (e.g., AI based controls) High level of competence in coding and scripting
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scientific programming and the use of instrumentation. Engineering, design and use of bolometry, thermography and other instrumentation is beneficial. Incorporation of synthetic diagnostics into codes
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another, work together, and measure success. ORNL Ethics and Conduct: As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code of Conduct. Our full code
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office-based, occasional off-hours or weekend support may be required to meet user facility needs. As a member of the ORNL scientific community, you will be expected to commit to ORNL's Research Code
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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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codes and standards. Ensure material received are in compliance with procurement requirements design/specifications, codes, program requirements and quality standards. Conduct supplier evaluations and
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infrastructure. Infrastructure as Code (IaC) & Tooling Write and maintain infrastructure and deployment code using tools such as ArgoCD (GitOps), Puppet (OS management), Go, Python, Bash, and GitLab CI. Support
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in Computer Science, Data Science, Applied Mathematics, or a related field. Strong Python development skills and familiarity with git, CLI tooling, VS Code Proficiency with PyTorch and/or TensorFlow
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those skills to a variety of problems, and the ability to determine and understand the broader context of his or her research. Preferred Qualifications: Proficiency in multiple modern coding languages is
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and benchmark PyORBIT code. Participate in scientific conferences, workshops, meetings and publishes results in the form of SNS technical notes and memos, workshop and conference proceedings, and