93 coding-"https:" "https:" "https:" "CONSERVATOIRE NAT" positions at Oak Ridge National Laboratory
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. The position is open until filled. Additional information: Citizenship: US Citizenship is not required. For more information about the Householder Fellowship visit: https://www.ornl.gov/content/alston-s
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. Additional information regarding ORNL’s DSF Program may be found by visiting the following link: https://www.ornl.gov/careers/distinguished-fellowships . Security, Credentialing, and Eligibility Requirements
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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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and replacements to ensure compliance with safety and design bases. Approve engineering work against applicable codes and standards (ASME, AWS, ASTM, ISO, etc.). Lead development of long-term reactor
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infrastructure. Participant in an on-call rotation. Infrastructure as Code (IaC) & Tooling Write and maintain infrastructure and deployment code using tools such as ArgoCD (GitOps), Puppet (OS management), Go
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to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About” tab at https://jobs.ornl.gov
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. To support ORNL strategic research and development activities at the Manufacturing Demonstration Facility (MDF) (https://www.ornl.gov/facility/mdf/ ), we are accepting applications for Postdoctoral Research
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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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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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