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on the development of new algorithms and methods that can be used to analyze large and complex scientific data using novel computer architectures such as high performance, neuromorphic, and quantum computing. We are a
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-of-the-art sparse algorithm in matrices, tensor and networks for large-scale numerical, scientific and AI models and disseminating findings through publications and presentations in top-tier peer-reviewed
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graph-integrated ML for spatial-temporal analysis in smart infrastructure systems. Candidates must have demonstrated ability of working with big-data, leading technical teams, developing novel methods
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work
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of density, viscosity, and thermal conductivity of molten salts. Analyze and assess recent and legacy thermophysical property data, compile and organize into large database files Use various experimental and
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, development, implement and operate control systems for the SNS machine and test facilities. Provide technical expertise on large, distributed control system hardware, software, and infrastructure; analyze
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and clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production
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technical programs or projects. Knowledge of DOE project management guidelines. Minimum of 5 years managing large DOE capital projects (DOE 413.3B), especially DOE Office of Science projects. Demonstrated
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Postdoctoral Research Associate - Energy materials synthesis and exploration with neutron scattering
scatterings including phase formation, evolution, and elemental site occupancy in crystal structure etc. will be transferred to help to develop process of fabrication of large energy storage device. This work