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agencies and other national laboratories. The candidate will develop power systems and electricity market modeling, and analytics tools that support energy, economic, and financial analyses of power grid
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
modeling of large-scale dynamics in networks. This role involves creating large scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate
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, materials science, or a related discipline Background and/or interest in one or more of the following areas: critical elements and materials, electrical double layer theory and applications, solid–liquid
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operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model
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simulation, TEA and LCA, and have a good knowledge of current and future resource recovery and separation technologies. The successful candidate will 1) collect data pertaining to battery recycling, battery
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School of Molecular Engineering, to publish results in peer-reviewed journals, and to present findings at conferences, symposia, and seminars. The candidate will keep current with relevant techniques and
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science. Position Requirements Ph.D. (completed or soon to be completed prior to the start of the appointment) in Physics, Materials Science and Engineering, Electrical Engineering, or a closely related
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PhD (within the last 0-5 years) in field of physics, chemistry, materials science, electrical engineering, or a related field Demonstrated expertise in electronic structure theory Experience with large
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and presentation Position Requirements Recent or soon-to-be-completed Ph.D. (0–5 years) in materials science, physics, electrical engineering, or a closely related field Strong background in scanning
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. Candidates should have a Ph.D. in materials science, chemistry, physics, electrical engineering or a related field. Position Requirements Ph.D. in materials science, chemistry, physics, electrical engineering