91 coding-"https:"-"FEMTO-ST"-"CSIC"-"U" "https:" "https:" "https:" "https:" "Inserm" "Inserm" positions at Oak Ridge National Laboratory
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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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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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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
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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