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resolving bottlenecks and inefficiencies. Identify and resolve complex issues, ensuring minimal downtime and disruption to critical operations. Collaboration and Leadership: Lead HPC-related projects, from
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(or similarly complex research institution), federal research stakeholders, user facilities, and large-scale infrastructure operations. Established professional network in the geospatial, HPC or data
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ML frameworks for predicting microbial phenotypes and interactions from genomic data, build AI agent systems that enable researchers to interact with complex datasets through natural language, and
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, with the goal of demonstrating a path towards fault-tolereant quantum advantage in simulating complex material systems. The position will involve a combination of algorithmic design, numerical
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troubleshoot complex issues Identity Management and Security: Administration of RSA SecureID and PingFederate servers Deploy, configure and support identity and access management services such as single-sign
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researcher in the ORNL Physical Sciences Directorate and the University of Tennessee-Oak Ridge Innovation Institute, you'll have access to a rich network of resources, including seminars, training
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: PhD in Nuclear Engineering, Mechanical Engineering, Thermal-Mechanics, Fluids, or a closely related field. Experience in the development and application of complex engineering codes and preferable
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teams across ORNL. Connect staff to your network and professional societies. Hold regular technical group meetings and be visible in the workplace. Hold regular 1-on-1 meetings and discussions with
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are recognized experts who lead the design, implementation, and optimization of complex HPC infrastructure. They manage large-scale technical projects, guide technical direction for their teams, and serve as
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communication skills, with ability to explain complex AI concepts to diverse audiences. Preferred Qualifications: Expertise in one or more geohazard-related fields (e.g., seismology, volcanology, landslide