53 multi-scale-composite-wind Postdoctoral positions at Oak Ridge National Laboratory
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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
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. Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems. Collect, analyze, and leverage telemetry data from HPC systems
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on-site, along with their associated supportive technologies (such as solar photovoltaics, solar thermal systems, wind power, renewable fuels, geothermal solutions, battery storage, thermal storage, and
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Requisition Id 16887 Overview: We are seeking a Postdoctoral Research Associate who will support the Ceramics and Ceramics Composites (CCC) Group within the Materials Science and Engineering
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loads, transmission networks, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software tools for integrated
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following areas is of particular interest: (a) Advanced functional materials, including polymer composites, dielectric materials, thermal interface materials, and multifunctional materials. (b) Heat transfer
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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-based modeling of hydrological and Earth system processes. The CHAS group conducts world-class research in hydrological and Earth system modeling, large-scale data analytics and machine learning (ML), and
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key findings in peer-reviewed journals in a timely manner. Collaborate within a multi-disciplinary research environment consisting of computational scientists, experimentalists, and engineers conducting
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
that can incorporate multi-scale computational simulations to aid with data fusion across multiple modalities of experiments with the final goal of discovering novel materials phenomena or even new materials