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studies using in situ and operando methods such as surface Raman spectroscopy and synchrotron X-ray based scattering and absorption spectroscopy methods, in addition to conventional tools such as XRD, BET
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of urbanization on precipitation, and aerosol-cloud interactions Strong modeling skills and high-performance computing experience Experience with model code development, and strong programming skills (e.g., Fortran
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in spatial analysis and data visualization Computer programming skills relevant for data manipulation and analysis Experience with creating and using complex data-driven analytical models using R
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pipelines and methods for neuroimaging. The successful candidate will join a dynamic team of scientists conducting a wide range of research with state-of-the-art tools. The IMG operates three beamlines
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, degradation mechanisms, and electrochemical performance, utilizing a variety of synthesis techniques and advanced structural and electrochemical characterization methods. The appointee will work closely with
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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-based high-resolution surface-sensitive methods. In addition, working with the APS staff scientists, the successful candidate will demonstrate the applications to probe surface and interface nanomaterials
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analyze the results with the goal of quantifying the fundamental fluid mechanics of the systems and will work with computational modelers to develop a better understanding of the injection and breakup
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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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is supported by a DOE-funded research program on ultrafast science involving Argonne National Laboratory, University of Washington, and MIT. The goal of this research program is to understand and