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in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
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their electrochemical performance with chemical change. This position resides in the Chemical Dynamics Group in the Chemical Sciences Division (X060), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
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Requisition Id 16723 Overview: We are seeking a Postdoctoral Research Associate with expertise in artificial intelligence (AI) and machine learning (ML) for multiscale physical systems
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demonstrating advanced manufacturing technologies related to machining processes, machine tool performance, process monitoring, machine tool metrology, and/or manufacturing system integration. The successful
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multiple institutions to collaboratively support scientific advances guided by AI/ML, remote sensing, process-based modeling, field observations and experiments, and advanced analytical techniques. Major
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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Peatland Responses Under Changing Environments) experiment and other DOE-supported observational networks. Major Duties/Responsibilities: Develop, implement, and test new and improved process representations
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capabilities in support of dramatic advances in our understanding of the physical world and using that knowledge to address the most pressing national and international concerns. It delivers leadership- class
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transformative solutions to compelling problems in energy and security. We are seeking a postdoctoral research associate who will focus on using neutrons to study the physics of nonequilibrium dynamics in many
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highly collaborative environment including teams in Neutron Sciences Directorate and Physical Sciences Directorate, leveraging state-of-the-art neutron characterization and other characterization tools