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engineering and analysis to define hardware, software, storage, networking, and integration requirements. Develop prototypes, automation, scripts, and engineering solutions using technologies such as Python
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Enterprise Linux (RHEL) or Ubuntu, across physical and virtual environments and multiple security domains. Lead automation and infrastructure modernization using Ansible, Python, Bash, Git, and infrastructure
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completed within the last 5 years or expected to be completed soon. Expertise in AI/ML methods in an environmental or Earth science context Experience programming in Python or related languages A strong
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or CP2K on massively parallel architectures. Solid skills in common scientific programming languages, in particular languages such as FORTRAN, C, C++, and Python Experience in parallel programming with one
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and GitOps workflows, Puppet, Go, Python, Bash, and GitLab CI. Establish and promote reusable automation patterns, configuration standards, and engineering practices for operating Kubernetes clusters
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utilization. Lead troubleshooting and root-cause analysis of complex HPC infrastructure and performance issues. Automation, Security & Modernization Develop and advance automation using Python, Bash, Ansible
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and virtual Linux platforms across multiple security domains. Develop automation using Ansible, Python, Bash, and Git-based workflows to improve deployment, configuration, patching, compliance
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills
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systems (such as mechanical testing, high and low temperature, gas absorption, etc.) and material characteristics in these extreme conditions. Experience with Python or other scripted programming languages
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, Python or R Experience in manipulating and analyzing large observation data or model outputs Working knowledge of terrestrial biogeochemistry and nutrient-cycling processes Strong communication skills