214 data-"https:"-"https:"-"https:" "https:" positions at Oak Ridge National Laboratory
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ecosystem processes. The position offers the opportunity to work at the interface of model development, observational data synthesis, and emerging AI/ML methods, in close collaboration with researchers from
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ecosystem processes. The position offers the opportunity to work at the interface of model development, observational data synthesis, and emerging AI/ML methods, in close collaboration with researchers from
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experience in the design, construction, and operation of mechanical systems supporting data centers. The selected candidate will provide engineering and design oversight for facility-level process
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maintain computational workflows, scripts, and software tools to improve simulation efficiency, data processing, and reproducibility Design, assemble, and execute laboratory experiments to validate
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workflows for grid modeling, optimal power flow (OPF), surrogate modeling, and data-driven analysis of large-scale electric power system simulations on DOE leadership-class computing resources. The
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collaborate with scientists, facility operators, and DOE laboratory partners to lower barriers to scalable, automated scientific computing. WES designs and implements workflow, data, and ecosystem
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systems through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to
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maintain computational workflows, scripts, and software tools to improve simulation efficiency, data processing, and reproducibility Design, assemble, and execute laboratory experiments to validate
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support the new Government Computing Facility (GCF) data center project. This role will provide electrical engineering, design oversight, field support, and technical coordination for a new data center
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/ receiving support, inventory record creation / data management, barcode / RFID label processing, inventory maintenance, technology support, data quality, and customer support) or 2) Hazardous