306 development "https:" "https:" "https:" "University of Houston" positions at Oak Ridge National Laboratory
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-scale storage systems and HPC platforms to support research, scientific, and enterprise workloads. Develop and implement solutions for structured, unstructured, and archival data storage, focusing
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Requisition Id 15730 Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Research & Development Associate Staff Scientist to support research directed towards developing
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), artificial intelligence, and quantum, generates documentation about NCCS systems, and develops and delivers training to users of the center’s resources. NCCS staff members are also responsible for developing
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) IT and Linux Systems Engineering and other Military Occupational Code (MOC) projects Service members will also have the opportunity to participate in career development opportunities to enhance
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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). Major Duties/Responsibilities: Designing, developing, and conducting experiments related to data center thermal management technologies, phase change heat transfer processes, dehumidification systems
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expected to contribute to the development and application of advanced manufacturing simulations, and machine learning (ML) models relevant to additive manufacturing, virtual manufacturing, material
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standards, and help develop design and material specifications. Assist with fabrication, assembly, and implementation of approved design changes. Maintain accurate drawings, system documentation, and as-built
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automation, performance tuning, and system security. Develop, implement, and maintain configuration management and automation frameworks (e.g., Ansible, Puppet, Salt) to enhance reliability and reproducibility
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Requisition Id 15721 Overview: We are seeking a Postdoctoral Research Associate who will contribute to the development and implementation of novel quantum algorithms for materials simulation, with