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. The researcher will develop and apply physical, chemical, and electrochemical models for advanced battery technologies and associated manufacturing processes. This work will quantify and explain relationships
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electrolyte systems Strong skills in the synthesis and structural optimization of host materials for lithium–sulfur batteries Experience in the synthesis, processing, and characterization of solid-state
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user groups to incorporate scattering datasets into multimodal AI frameworks combining experimental measurements and simulations. Contribute to the development of automated data processing and analysis
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The Applied Materials Division, Process R&D and Scale up Group at Argonne National Laboratory is seeking a Postdoctoral candidate to conduct general research in material science and electrochemistry
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, and cyber-resilient operation of distribution systems and networked microgrids. The successful candidate will contribute primarily to the control and cybersecurity thrusts of a multi-institutional
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nonproliferation. With guidance, the appointee will : Develop advanced multiscale, multiphysics simulation tools relevant to the modeling of processes involving combined nuclear, chemical, and electrochemical
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, asphaltenes, resins, and kerogen molecules and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will
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) Perform low-noise cryogenic measurements of device performance, including timing jitter, dark count rate, detection efficiency, and resonator quality factors Iterate rapidly on fabrication processes and
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following areas: Transition-edge sensors (TESs) or kinetic inductance detectors (KIDs) Cleanroom microfabrication processes, including: Thin-film deposition (e.g., magnetron sputtering) Electron-beam
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, design of experiments, image and data processing. Position Requirements Recent or soon-to-be-completed PhD with strong background in Physics or Materials Science (within the last 5 years) Physics