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modeling is critical Considerable computational expertise in using quantum mechanical methods to calculate reaction mechanisms and kinetics in heterogeneous systems is essential Ability to program in C++ and
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-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
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The X-ray Imaging Group (IMG) of the Advanced Photon Source (APS) is seeking a postdoctoral researcher with expertise in computational science and image processing to develop innovative methods
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data-intensive operations in scientific and AI applications. Investigate machine learning techniques to inform heuristic methods for routing optimization, bridging theoretical insights with practical
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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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., Argonne’s TDCosim) for integrated analysis of microgrids, DERs, and utility-scale systems; implement methods to synchronize transmission-focused simulators with distribution-level tools. Demonstrate
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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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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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basic and applied research in the field of metallization and metal production, such as molten salt electrolysis, metallothermic reduction, including physico-chemical property determination. The candidate
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, primarily for recycling used nuclear fuel for use in advanced reactors. As a part of this team, you will: Apply electrochemical engineering principles to develop processes such as metal oxide reduction and