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Requisition Id 16985 Overview: We are seeking a Postdoctoral Research Associate to join a large research team working on the development and implementation of novel algorithms for scientific
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. This researcher will focus on advancing secure, trustworthy, and efficient AI solutions for scientific applications by developing state-of-the-art sparse algorithms in matrices, tensors, and networks
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Requisition Id 17309 Overview: We are seeking a postdoctoral researcher to develop and demonstrate quantum algorithms for quantum simulations of condensed matter physics. The goal of this research
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-enabled scientific workflows that address high-impact national challenges. Responsibilities include, but not limited to: Develop novel AI, machine learning, and knowledge-guided learning algorithms
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt
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understanding of structural, thermodynamic, and dynamical aspects of molecular reaction chemistry in aqueous and organic media. Develop and evaluate statistical mechanical and AI/ML algorithms/workflows
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thermal systems, controls, or AI/ML applications Experience developing and deploying reinforcement learning algorithms for real-time control applications Experience with hardware-in-the-loop (HIL) testing
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-preservation algorithms. The successful candidate will develop cutting-edge differential privacy techniques for large-scale models across multiple institutions. This position offers a unique opportunity to work
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work with multidisciplinary teams to develop, validate, and demonstrate advanced mobility technologies using large-scale transportation data, high-fidelity simulation, vehicle-in-the-loop testing, and
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, reactor core, spent fuel, and fuel cycle applications through leadership in the development and analysis of SCALE and/or the Virtual Environment for Reactor Applications (VERA) simulations and in