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Research Associate to develop and apply computational technique for advanced manufacturing using high-performance computing resources. ORNL’s CCP conduct world-leading research and development in multi-scale
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Requisition Id 15892 Overview: We are seeking a Postdoctoral Research Associate to conduct advanced materials research focused on the development of cast, additively manufactured, and wrought
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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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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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to ORNL's Research Code of Conduct. Our full code of conduct and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity . Basic Qualifications: PhD in
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, including research and analysis of technologies and methodologies for onsite energy systems. Conduct in-depth market analyses to identify opportunities for onsite energy technologies in the industrial sector
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/Responsibilities: Conduct independent research in life cycle assessment (LCA), technoeconomic analysis (TEA), and industrial energy efficiency and production optimization to support DOE Strategic Analysis and
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, objective, and publicly available geothermal well life cycle assessment analysis. This project will conduct research into alternative geothermal well designs that can improve the life cycle value
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models that can describe rates and locales of precipitation. Major Duties/Responsibilities: Conduct independent research using atomic-scale simulation with rare event methods to understand hydroxylation
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Postdoctoral Research Associate- AI/ML Accelerated Theory Modeling & Simulation for Microelectronics
for model refinement. Perform multi-scale simulations (e.g. DFT / atomistic / phase-field simulations) to train AI/ML models. Conduct scientific research on ferroelectrics and/or 2D memristive materials