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to correlate sensor data with process induced defects, microstructure, and material performance. Interact with industrial partners, other research organizations, and universities related to advanced
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-building energy performance and systems integration, deployment, and analysis in support of the DOE mission. Staff members lead and participate on teams focused on R&D and deployment of energy-efficient
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will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding. Security, Credentialing, and Eligibility Requirements
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before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability
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guarantees while minimizing performance impact. Additionally, you will optimize the balance between privacy and utility, addressing the challenges of heterogeneous privacy budgets and varying requirements
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performance and availability of funding. Visa Sponsorship is not available for this position This position requires the ability to obtain and maintain an HSPD-12 PIV badge. Letters of Recommendation: Please
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workflows that enable reliable extraction of magnetic interactions from neutron and complementary measurements in a high-performance computing environment. Major Duties/Responsibilities: Develop and apply
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conceptualizing and performing research on the variables associated with nuclear fuel-cycle processes; the fate, transport, dispersion, collection, and measurement of such variables; and the analysis of these data
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postdoctoral researcher, you will help solve some of the most challenging problems faced by the nation. You will perform groundbreaking research on a wide range of significant problems, and you will apply your
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
multi-scale simulations and multi-modal experiments. Perform data fusion using novel AI/ML approaches to seamlessly transfer information from simulations and experiments into data ingestion pipelines