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processes. Skilled communications skills at all levels of the organization. Ability to work in a team environment. Skills in installing, modifying and maintaining equipment. Willingness to abide by safety
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Directorate (PSE) at Argonne National Laboratory is seeking applicants for a Postdoctoral Appointee who will conduct cutting-edge research in AI for Materials Science Discovery, with a focus on critical
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knowledge gaps in high-pressure science and publish the results in scientific journals. The initial appointment is for two years and may be extended to a third year, contingent on performance, project
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total X-ray scattering (TXS) and pair distribution function (PDF) analysis capabilities and methodology to study laser-driven structural dynamics in functional materials. This position is part of a
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interfaces. Programming and HPC: Strong scripting and data analysis skills; experience with high-performance computing environments and job schedulers. Demonstrated ability to work in multidisciplinary teams
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analyze and interpret experimental data is required. Strong interpersonal, written, and oral communication skills. Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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photonic platforms for hybrid quantum systems. The role offers a unique opportunity to engage in advanced materials synthesis, nanofabrication, and multimodal characterization using Argonne’s world-class
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characterization (e.g., XAS, XPS, Raman, DEMS) Proficiency in data analysis; familiarity with modeling or data science tools is a plus Excellent written and oral communication skills and the ability to work
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; experience with machine learning is a plus Demonstrated record of peer-reviewed publications Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Qualifications
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The Materials Science Division (MSD) of Argonne National Laboratory is seeking applicants for a postdoctoral appointee in atomic layer deposition of thin films, in situ metrology, interface science