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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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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 Argonne Leadership Computing Facility (ALCF) is dedicated to advancing scientific discoveries and engineering breakthroughs by providing world-class computing facilities in collaboration with
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techniques, and carry out any required data analysis. Position Requirements • Experience working with Lorentz Transmission Electron Microscopy. • Strong background in Materials Science or Physics. • Min
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engineering, or a related field. Demonstrated expertise in process modeling, process optimization, and technoeconomic analysis. Programming skills in scientific computing languages such as Python and Julia
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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dynamics (CFD) to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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Leadership Computing Facility (ALCF), the Mathematics and Computer Science Division (MCS), the Computational Science Division (CPS), and the Data Science and Learning Division (DSL). The postdoctoral
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, XRD, XPS, and FTIR to study membrane structure and composition Analyze experimental data, maintain thorough documentation of research activities and results Disseminate findings through scientific
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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