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Requisition Id 15997 Overview: We are seeking a postdoctoral researcher who will focus on atomistic simulation and data science approaches. This position resides in the Chemical Transformations
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planning using operation model development, either through development of bespoke simulation/optimization tools, or through application of tools like RiverWare, WEAP, WRAP, StateMod, OASIS, WRIMS, and HEC
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candidate will bring a strong foundation in systems architecture, a working knowledge of cluster computing and scaling, and a passion for advancing the security of AI systems under real-world and simulated
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implement hybrid approaches that integrate process-based simulations with data-driven methods to advance hydrologic process understanding and prediction. Integrate diverse datasets (e.g., in situ observations
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Simulation & Data Processing: Use and extension of Allpix2 and TCAD-based simulation tools. Generation of large simulation datasets for algorithm training and validation. Integration of simulation with
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-physics simulations with machine learning algorithms for modeling and optimizing of metallic materials and advanced manufacturing processes. Participate in the design of integrated, scalable numerical
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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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-critical applications. Experience in designing and prototyping robotic manipulators, with an emphasis on operation in high-radiation or hazardous environments. Proficiency in simulation tools (e.g., MATLAB
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-critical applications. Experience in designing and prototyping robotic manipulators, with an emphasis on operation in high-radiation or hazardous environments. Proficiency in simulation tools (e.g., MATLAB
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models and simulation tools to understand physical processes in fusion applications that involve liquid metal magnetohydrodynamics and plasma physics, such as breeding blankets and liquid-metal plasma