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Investigate how dynamic stimuli manipulate catalyst electronic properties, and how these stimuli can manipulate catalytic elementary steps and reaction outcomes Perform detailed in situ / operando studies
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this work we investigate how molecular materials coupled to solid-phase scaffolds may influence molecular motion, photoinduced kinetics, charge dynamics, and assembly durability. The work will target
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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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of findings to the community through publications and presentations. Position Requirements Ph.D. in Molecular Biology, Biochemistry, Biotechnology, Plant Biology, Protein Engineering, Microbiology, or a related
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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methods and software for the analysis and calibration using very large data sets resulting from dynamical simulations on high-performance computing resources. Application areas include : 1. Epidemiology, 2
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platforms, with collaborations with the Argonne Leadership Computing Facility and the Advanced Photon Source. This postdoc will contribute to the design and implementation of a software infrastructure for the
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applications. With guidance, the appointee will: Develop advanced multiscale, multiphysics simulation tools relevant to the modeling of processes involving combined nuclear, chemical, and electrochemical
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values of impact, safety, respect, integrity, and teamwork Desired Qualifications • Experience in the synthesis and evaluation of molecular and/or heterogeneous catalysts • Strong understanding of kinetics
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, machine learning, and control in the energy sector. The postdoc researcher will perform theoretical study and algorithm development on optimization/control/data analytics methods and authorize peer-reviewed