209 data "https:" "https:" "https:" "https:" "UNIV" positions at Oak Ridge National Laboratory
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performance and capacity. Ensure data integrity and security for storage systems. Patch both system and 3rd party vendor software to ensure security and stability. Monitor for patch releases and work with the
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infrastructure, ensuring smooth data communication by managing and configuring network devices like routers, switches, firewalls, and wireless access points, monitoring network performance, identifying and
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operating procedures and best practices for equipment usage, safety protocols, and data management. Budget management and resource planning for facility operations, maintenance contracts, and consumables
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for accuracy and completeness; scan documents to participants’ BlueFin records with an email notification to pension staff. Initiate outbound calls to verify and obtain missing or incomplete information. Respond
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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mechanical testing equipment. Troubleshooting: Diagnose issues in testbeds and provide constructive feedback to engineers on design and implementation improvements. Data Monitoring: Monitor component and
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, industrial piping design, and utility systems. Preferred Qualifications: Professional Engineer (PE) licensure. Must demonstrate a strong dedication to customer service. Must have strong computer skills and
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industrial imaging data. You will directly contribute to developing and deploying algorithms for multi-modal tomography (X-ray, neutron, and electron), advancing methods for non-destructive evaluation (NDE
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BlackPearl and large-scale tape libraries to ensure long-term data preservation and accessibility. Integrate high-performance, enterprise, and archival storage layers into cohesive tiered storage architectures
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strategic management and strict adherence to security protocols. We are looking for candidates with extensive experience in either classified HPC data center operations, architecture, parallel computing