279 parallel-processing-bioinformatics-"Multiple" positions at Oak Ridge National Laboratory
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
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techniques for the generation and exploration of complex, large-scale scientific data. Publishing research in leading peer-reviewed journals and conferences. Researching and developing parallel/scalable
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, monitoring, and tooling support across multiple clustered infrastructures, we facilitate Lab-wide R&D projects. Our HPC clusters range in scope from just a handful of nodes to over fifty-thousand cores. We
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within a multi-disciplinary research environment consisting of computational scientists, applied mathematicians, and computer scientists to link models and algorithms with high-performance computing
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Department of Veterans Affairs (VA). As such, you will have the opportunity to work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics
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). Major Duties/Responsibilities: Document team processes including work instructions and maintain a living knowledge base. Monitor infrastructure equipment and servers for uptime as well as performance
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external entities. Process and direct vulnerability scanning activities across multiple enclaves in keeping with their specific requirements. Maintain strong communications relationships with ORNL’s various
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, Mixture-of-Experts; distributed training/inference (e.g. FSDP, DeepSpeed, Megatron-LM, tensor/sequence parallelism); scalable evaluation pipelines for reasoning and agents. Federated & Collaborative
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conceptualizing and performing research on the variables associated with nuclear fuel-cycle processes; the fate, transport, dispersion, collection, and measurement of such variables; and the analysis of these data