95 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "P" positions at Oak Ridge National Laboratory
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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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such, a pre-hire physical will be required after offer. Visa Sponsorshi p: Visa sponsorship is not available for this position. Q Clearance: This position requires the ability to obtain and maintain a
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superconducting materials is highly desirable. Experience with solid modeling and finite element analysis codes as it relates to electromagnetic interactions of coil assemblies, the modeling of cryogenic
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that integrate with existing or new large language models and large vision models for resource optimization with energy grid data. Provide coding support to implement privacy preserving federated learning
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technical 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
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quantum critical spin systems). Experience with writing high-quality code. Excellent record of productive and creative research demonstrated by publications in peer-reviewed journals. Excellent written and
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and project oversight. Familiarity with the NEC (National Electrical Code). Experience with predictive maintenance techniques and equipment reliability programs. Familiarity with beamline operations and
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Optimization & Integration: Partner with the HPC engineering team to guide researchers in optimizing scientific codes and workflows for HPC environments. Collaborate with the HPC engineering team to ensure
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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
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or OpenMP. Experience in heterogeneous programming (i.e., GPU programming) and/or developing, debugging, and profiling massively parallel codes. Experience with using high performance computing (HPC