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evolution, phase stress, and defect evolution using advanced data analysis tools. Perform alloy fabrication and processing (e.g., arc melting, heat treatment) and relate processing to performance. Apply
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methods Computational or process modeling using tools such as Python, MATLAB, Aspen, COMSOL, Fluent, or OpenFOAM Experience with high performance computing environments Experience working in a classified
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for several key U.S. industries. As part of this role, the ideal candidate will be passionate about manifesting higher-level project deliverables into a timely, high-quality product. The immediate project needs
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high
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of nutrient (nitrogen and phosphorus) cycling and their coupling to hydrological and ecosystem processes within ELM and ELM-Peatlands. Evaluate model performance against observational and experimental datasets
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of nutrient (nitrogen and phosphorus) cycling and their coupling to hydrological and ecosystem processes within ELM and ELM-Peatlands. Evaluate model performance against observational and experimental datasets
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. Excellent analytical skills with high attention to detail. Experience with geospatial data visualization tools such as ArcGIS, Cesium, or similar. Familiarity with urban-scale building energy modeling
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relevant radionuclides. You will be expected to independently drive research projects forward, troubleshoot challenging synthetic and coordination chemistry problems, and generate high-quality, publishable
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campaigns to collect plant material, soil cores, and soil water from coastal wetlands. Lead a laboratory mesocosm experiment evaluating plant-soil response to simulated disturbance, linking repeated high
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land loss and vegetation change at high spatial resolution Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives