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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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-CCE Scaling Machine Learning. The HEP Division performs cutting-edge research facilitated through advanced detector development, high-performance supercomputing (HPC), and innovative electronic and
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structure under variable chemical conditions. These goals will be achieved by developing and deploying novel in-situ coherent x-ray characterization methods such as x-ray photon correlation spectroscopy and
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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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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
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simulations of realistic atomizers to capture liquid jet breakup characteristics. Perform high-fidelity simulations of gas turbine combustors with aviation fuels by developing accurate and computationally
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processes in internal combustion engines (ICEs), such as fuel injection, combustion, heat transfer, etc. Improve, develop, and implement CFD sub-models necessary to enable predictive ICE simulations
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to maintain a current knowledge of the latest development in the field and will also participate in maintaining technical reports and other documents associated with the project, along with reports
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing electrochemical reactions and processes in molten salt electrolytes
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researcher will conduct advanced research to develop sustainable, innovative bioprocesses and separation technologies to improve the efficiency of resource and energy utilization; to minimize our dependence