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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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National Laboratory (ORNL). This is an opportunity to develop novel tools and techniques across scales (river basin to national), publish in top-tier journals, collaborate with industry and academic partners
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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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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crystal material’s growth and characterization. You will perform cutting-edge research on theory and modeling of dynamics in condensed matter. Major Duties/Responsibilities: Development of theoretical
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projects relevant to catalysis and critical materials. Contribute to methods development and integrate data science to accelerate simulations, analyze large datasets, and extract properties. Work in multi
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carlo), as well as experience in developing and/or applying advanced AI/ML methods to accelerate materials discovery. The project will involve integrating such theory-informed AI-models for creating
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will conduct research on irradiated materials using the capabilities of the Irradiated Materials Examination and Testing Facility and the Low Activation Materials Development and Analysis Laboratory