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collaboratively in a team environment. Demonstrated experience in interdisciplinary research and problem-solving. Skilled in oral and written communication at all levels of the organization. A record of
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software development practices. Experience with uncertainty quantification and statistical analysis Skill in written and oral communications. Experience interacting with scientific staff and research groups
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to the project: Probing three-dimensional mesoscopic interfacial structures in a single view using multibeam X-ray coherent surface scattering and holography imaging, Nature Communications 14, 5795 (2023). DOI
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of funds. Relevant Publications: 1. P. Chen et al ., Ultrafast photonic micro-systems to manipulate hard X-rays at 300 picoseconds, Nat Commun, 10:1158 (2019). https://doi.org/10.1038/s41467-019-09077-1 . 2
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. Experience with uncertainty quantification and multi-modal deep learning. Experience with distributed training. Skill in written and oral communications. Experience interacting with scientific staff and
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environmental biogeochemistry. Skill developing laboratory procedures and protocols for new experiments designed to test scientific hypotheses. Skill in oral and written communications. Knowledge of potential
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communication interfaces between Opal-RT, edge computing devices, OEM inverter using protocols like UDP, CAN, DNP3 etc. Aid with project management activities for DOE projects and developing safe operating
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systems is essential Ability to program in C++ and Python languages would be an asset Considerable skill in written and oral communication is a requirement Ability to model Argonne’s Core Values: Impact
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facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran