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and modeling teams using data from the Atmospheric Radiation Measurement (ARM) User Facility including the Bankhead National Forest (BNF) and Desert-Urban System Integrated Atmospheric Monsoon
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emphasize processing–microstructure–property-performance relationships under temperature, irradiation, corrosion, mechanical stress conditions. The successful candidate will integrate additive manufacturing
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-based and AI/ML approaches. This position focuses on high-resolution Earth system modeling and the analysis of convective storms and weather and hydrological hazards to improve predictability
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exchange, adsorption, precipitation, or related unit operations Experience with instrumentation, sensors, data acquisition, and control systems for laboratory-scale process equipment Demonstrated ability
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integrating literature, in-house, and newly generated experimental data Build surrogate and predictive models that connect composition, molecular structure, synthesis and processing conditions, morphology, and
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of both hardware and software tools for operando characterization under electrochemical conditions, as well as the management and analysis of large experimental datasets. The successful candidate will
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, characterizing mass transfer and selectivity under flow conditions, and screening and tuning DES compositions to optimize solubility, speciation, and electrochemical accessibility for target elements
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conditions to fabricate membrane components with desired physics and ionic transport properties. As part of the Materials Engineering Research Facilities (MERF), the Nanocomposite Materials and Membrane
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years) in field of chemistry, chemical engineering, materials science, or equivalent Required hands-on experience with co-precipitation synthesis using a CSTR reactor for the production of layered oxide
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modeling and techno-economic assessment as appropriate. The candidate will work independently under general guidance, collaborate effectively within a multidisciplinary team environment, and prepare