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Requisition Id 16802 Overview: We are seeking a Postdoctoral Research Associate for the development and application of advanced multiphysics simulations, and machine learning (ML) methods relevant
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physics-informed and physics-ML hybrid approaches that integrate domain knowledge with data-driven methods to advance hydrological process understanding and prediction. Conduct multimodal, multiscale data
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, statistical methods, and computational tools. Contribute to externally sponsored research proposals, technical reports, peer-reviewed publications, invention disclosures, conference presentations, and sponsor
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experimental methods and provide innovative solutions for technology growth. We aspire to help generate technical artifacts (patents) as well as scientific artifacts (journal articles). Almost all of our
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, field observations and experiments, and advanced analytical techniques. Major Duties/Responsibilities: Develop and apply AI/ML methods to integrate heterogeneous geospatial, remote-sensing, hydrological
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, walkdowns, surveillances, and other oversight activities to evaluate compliance and work effectiveness. Provide guidance on quality assurance tools, performance improvement, and process improvement methods
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tools such as SCALE, MCNP, OpenMC, and Serpent on high-performance computing platforms Quantify uncertainty and modeling bias in calculated results Establish and document defensible analysis methods and
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. Perform routine research and develop recommendations for equipment and/or materials selection. Hands-on construction of mission equipment Prepare basic engineering calculations following standard methods
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. Experience programming FPGAs, PLCs, using LabView, and operational experience with large accelerator facilities. Knowledge of Failure Mode Effects Analysis (FMEA) and implementation methods. Security
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– in how we treat one another, work together, and measure success. Project Management Lead the identification and implementation of project management processes, methods, tools, guidelines and standards