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simulations and generative model training Implement cutting-edge machine learning techniques for the analysis of molecular data Publish papers in key journals and protect intellectual properties Ensure
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technologies Field, laboratory, or numerical testing of hydraulic structures Geospatial and remote sensing data analysis (e.g., GIS, Google Earth Engine) Machine Learning applications in hydrology/water
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) is seeking qualified applicants for a postdoctoral position in machine learning and surrogate models. Areas of interest include graph neural networks, federated learning, data-driven model reduction
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systems with critical safety or economic elements Development of new analysis methods and computer simulation tools for safety and security analysis of nuclear energy systems Development of regulatory and
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. The project is centered around the design interfaces via molecular beam epitaxy growth which integrates theory-guided machine learning approaches. The ideal candidate will have experience at international
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Postdoctoral Research Associate - Structural Simulation and Machine Learning (ML) for Polymer Compos
manufacturing technologies through machine learning and physics-based simulations, specifically finite element analysis (FEA) for polymer composites. The candidate will also focus on developing a manufacturing
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experimentation, data analysis, and interpretation through peer-reviewed publications Research relevant to optical spectroscopy and multivariate chemometrics Experience with machine learning concepts Research in
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applying the latest advancements in machine learning, high performance computing, and numerical methods to develop computational tools and models that are used for large-scale, physics-based simulations of a
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pedestal using high performance computing resources and machine learning accelerated architecture. These simulations will inform integrated modeling for decision-ready tokamak pulse simulation to perform
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programming and machine learning An excellent record of productive and creative research as demonstrated by educationally equivalent production including reports, presentations, publications in peer-reviewed