46 optimization-nonlinear-functions Postdoctoral positions at Oak Ridge National Laboratory
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response Demonstrated expertise in process development/optimization for macro-scale deformation in AM Experience with multi-physics simulations on high performance computing (HPC) and maching learning (ML
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states. You will also work within a multidisciplinary multi-institutional team involving specialists in theory, nonlinear electronic spectroscopy, organic synthesis, and materials characterization. Major
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Requisition Id 15180 Overview: We are seeking a Postdoctoral Research Associate with a strong background in spin-based quantum sensing phenomena. In this role, you will conduct research
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tradeoffs, breeding trials across highly variable environments, and functional validation of gene effects. The candidate will (1) apply advanced analytical approaches to integrate existing datasets, (2
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maturation, characterizing performance and properties of nuclear fuels and materials, and generate the data to advance physical modeling and simulation. The primary function of this open position is to perform
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Requisition Id 15076 Overview: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges
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will be pivotal in advancing the state of the art in resilient infrastructure by developing more efficient and adaptive techniques that maintain robust performance guarantees while optimizing resource
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journals and conferences. This role provides a unique opportunity to work with the world’s first exascale system, Frontier, and collaborate with leading experts in machine learning, optimization, electric
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, industrial energy systems, energy efficiency of manufacturing industry, or other related fields. You will play a crucial role in the planning, execution, and optimization of our technical assistance program
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emerging at the grid edge, providing essential services crucial to its reliable operation. Employing a diverse range of disciplines such as control theory, optimization, economics, game theory, data