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cathode materials for lithium-ion and sodium-ion batteries. This work will include the use of advanced synthesis methods, electrochemical testing, and state-of-the-art characterization techniques
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techniques to industrial energy systems, manufacturing systems, and commodity supply chains. Integrate data-driven methods with optimization-based modeling frameworks, including linear, mixed-integer
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The Applied Materials Division at Argonne National Laboratory has an immediate opening for a Postdoctoral Appointee. The candidate will be responsible for reviewing and developing design methods and
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), in collaboration with Argonne researchers and external partners from industry and academia. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in
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. Position Requirements A formal education in Physics, Materials Science, Chemistry, or a related field at the PhD level with zero to five years of employment experience. Demonstrated experience with high
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Manufacturing group perform science-based membrane synthesis and scaleup development by using roll-to-roll manufacturing and machine learning enabled in-line characterization and quality control methods
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spintronics, or cavity spintronics. Proficiency in scientific software development (e.g., Python, COMSOL, HFSS). Demonstrated ability to work independently and collaboratively in a multidisciplinary environment
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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, we encourage applicants to consider how their data processing and software development capability fits into the proposed work and future direction. The Postdocs will be working directly with assigned
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help shape technologies with broad relevance to future quantum systems. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics, electrical engineering