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The Chemical Sciences and Engineering Division is seeking a highly qualified and motivated postdoctoral researcher to join our team in the area of light-matter interactions, with a particular focus
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of complex propulsion systems involving modeling of multi-phase flows, turbulent combustion, heat transfer, combustion, and thermo-mechanical fluid-structure interaction by further developing commercial/in
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, Biogeochemistry, or Soil Science. Experience with the application of synchrotron-based techniques to problems in one of these areas listed above. Knowledge and skills in either Biogeochemistry or synchrotron
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and structural biology analyses. Publish findings in high-impact journals and present research at leading conferences. Position Requirements Required skills, knowledge and skills: Recent or soon-to-be
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the last 0-5 years) in Atmospheric Science, Climate Science, or other climate-related science Expertise in any of the following: cloud and convection, severe weather, land-atmosphere interactions, impacts
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, especially surface holography, and their application to elucidate the spatiotemporal structure of nanostructures at surfaces and interfaces. The coherence-based probes will align with the capabilities promised
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measurements to probe structure and reactivity (e.g., X-ray reflectivity, X-ray imaging) is desired Ability to work interactively, productively, and independently in a multidisciplinary environment and within a
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of these materials and how electronic metal-support interactions in non-traditional catalyst materials can be leveraged to modulate catalytic activity and selectivity, including studies towards understanding reaction
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of the devices, and designing and executing time-resolved X-ray experiments with MEMS-based X-ray optics. We are seeking highly motivated candidates to drive the project in an independent manner while interacting
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models