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advanced data analytics to address critical challenges in science and engineering. Establish partnerships and serve as a key contact point with agency program offices and stakeholders to ensure alignment
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including, but not limited to, the following: Multi-modal architectures for science Data strategies for model training Model training on large scale systems AI evaluation and safety for science Model fine
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, components and systems. Knowledge of analyses of components and energy conversion systems. Knowledge of computational techniques and numerical methods. Knowledge of computer simulation and data analysis
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and energy conversion systems. Knowledge of computational techniques and numerical methods. Knowledge of computer simulation and data analysis. Knowledge of C/C++ language and parallel programming with
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capabilities such as optimization under uncertainty, multi-objective optimization, statistical analysis and data visualization modules for aiding interpretation of model results, and addition of a graphical user
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and written communication skills. The ability to work in a dynamic, interdisciplinary team. Programming expertise in Java, C++, Python, or R. Experiences with large databases and data manipulation tools
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scattering will be useful but is not necessarily a prerequisite. Experience in modeling and working with large data sets will be beneficial. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker