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. Education: Ph.D. (< 5 yrs. since Ph.D.) • Familiarity with image processing and simulation software. • (Preferred) Experience with nanofabrication, transport measurements, thin film deposition, in-situ TEM
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listed will be considered). Knowledge in the following areas: Li-ion batteries – including fabrication of coin cells and performing electrochemical performance testing, characterization of carbonaceous
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to the Lab’s broader effort in CH4 and CO2 utilization R&D. The role will require the individual to work with personnel that perform machine learning and molecular simulations and electrochemical device testing
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Electrochemical Mass Spectroscopy (DEMS), and complementary methods Perform electrochemical testing and benchmarking; analyze and interpret complex datasets to elucidate catalytic mechanisms and structure–property
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, designing and executing ML experiments on leadership-class computing facilities such as the Aurora and Polaris supercomputers. Argonne is a multidisciplinary national laboratory and offers an exciting campus