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and heterointerfaces. The postdoc will lead experimental design, data acquisition, and quantitative reconstruction. The appointees will work within a highly collaborative team spanning multiple DOE user
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conferences, and work within a large, interdisciplinary team of experts from multiple national laboratories and universities. The appointee will benefit from direct access to the unique capabilities
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characterization, computational modeling, and artificial intelligence across multiple academic and national laboratories. Key Responsibilities Design and execute S/TEM imaging and spectroscopy, including in situ
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Qualifications: Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field. Strong proficiency in Python, with additional experience in C, C
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engage across multiple projects and research applications. Experience in the following areas is a preferred and will help the candidate succeed: Li-ion batteries, materials characterization, critical
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open access of datasets. Key Responsibilities Develop and implement data management strategies to support research activities across multiple institutions. Collaborate with researchers to establish data
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multiple groups within the X-ray Science Division, the Center for Nanoscale Materials and the Materials Science Division of Argonne. Position Requirements Ph.D. in material science and engineering, physics