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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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. Position Requirements A Ph.D. in Materials Science, Electrical Engineering, Applied physics, or related field. Must have been received within the last 5 years or upcoming year. Normal daytime work hours at
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of Energy projects. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Electrical Engineering. Onsite presence is required. Solid foundation in
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collaborators. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental physics, engineering, or a related field Effective communication skills, both verbal
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The Chemical Sciences and Engineering Division at Argonne National Laboratory invites applications for a Postdoctoral Appointee position. The successful candidate will conduct research, under
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and processing strategies aimed at achieving high performance, cost-effectiveness, and manufacturability. The selected candidate will leverage the capabilities of the Materials Engineering Research
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The Chemical Sciences and Engineering Division invites you to apply to a postdoctoral appointee opening. The successful candidate will perform research in the Interfacial Processes Group
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measurements at the Center for Nanoscale Materials and analysis of these data. The in-situ experiments will be driven by external electric fields and relevant optical stimuli. Although exceptional candidates in
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(within the last 0-5 years) in field of chemistry, materials science, chemical engineering, or a related field Hands-on experience in membrane fabrication and characterization Proficiency in structural and
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will support this mission by building and applying modular, physics-informed frameworks to explore design tradeoffs, evaluate novel process concepts, and inform early-stage technology development and