91 coding-"https:"-"FEMTO-ST"-"L2CM"-"CSIC"-"P" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory
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designers to assure compliance with engineering codes and drafting standards. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork
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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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Queries. Experience with Monte Carlo N-Particle (MCNP) code modeling. Visa Sponsorship: Visa sponsorship is not available for this position. Security, Credentialing, and Eligibility Requirements
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the Laboratory’s Code of Conduct; developing policies and procedures regarding conflicts of interest, lobbying and political activities, acceptance and solicitation of gifts, scientific integrity and research
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automation workflows across SOAR platforms and integrated cyber tooling. Build and support integrations with REST APIs for vendor, in-house, and open-source tools. Contribute to infrastructure-as-code projects
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the principles in ORNL's "Research Code of Conduct" as a guide for proposing, performing, and communicating research. Lead ESH&Q by example and ensure all work is carried out safely, securely, and in compliance
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simulation codes, including computational scaling and efficiency, for hybrid exascale supercomputing systems. Programming model for multicore and heterogeneous architectures such as graphical processing units
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manufacturability. Manage Solidworks infrastructure Contribute to engineering deliverables development such as drawings, reports, specifications, and studies. Develop and apply an understanding of industry codes and
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and modify open-source codes to develop technical solutions and explore integrated design and optimization of tritium breeding blanket systems and related component designs. The successful candidate