32 python-"Multiple"-"U"-"Washington-University-in-St"-"SciLifeLab" positions at Oak Ridge National Laboratory
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of multiple classes of developmental alloy and manufacturing processes Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and
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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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, 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 partner
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for all system configurations, processes, and procedures. Prioritize and manage multiple tasks and projects efficiently. Keep all required documentation updated Other duties as assigned to complete
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Requisition Id 15134 Level: RP04 Overview: Oak Ridge National Laboratory (ORNL) invites applications for multiple potential openings for Senior Materials Scientists with extensive expertise in
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Requisition Id 15133 Level: RP03 Overview: Oak Ridge National Laboratory (ORNL) invites applications for multiple potential openings for Materials Scientists with expertise in advanced materials
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Requisition Id 15132 Level: RP02 Overview: Oak Ridge National Laboratory (ORNL) invites applications for multiple potential openings for Materials Scientists with expertise in advanced materials
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tools such as Bash, Python, or Ansible. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks
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cutting-edge requirements into resilient and scalable systems. The successful candidate will serve as a trusted technical advisor, systems architect, and subject matter expert across multiple classified HPC
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at conferences Proficiency in APT data acquisition/processing using IVAS Hands-on experience with sample preparation using FIB methods Data coding and analysis skills using Python, MATLAB, or similar platforms