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feedstocks including CO2, water, natural gas, biomass and plastics into valuable chemicals and fuels. This position resides in the Surface Chemistry and Catalysis (SCC) Group in the Chemical Transformation
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to detect and mitigate adversarial attacks on critical infrastructure and protections and informs national agencies about the nature, extent, and severity of adversarial actions with the goal of improving
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experience working with text data and and natural language processing techniques. Demonstrated experience working with deep learning frameworks like PyTorch and Tensorflow. Preferred Qualifications: Experience
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1940s. This division integrates the full enrichment process from chemical synthesis of feed materials through fabrication of the custom physical forms needed to support the user communities. You will
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spatio-temporal data. Preferred Qualifications: Experience developing processes for transportation route and mode identification and facility siting, considering natural disaster resiliency, climate change
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to detect and mitigate adversarial attacks on critical infrastructure and protections and informs national agencies about the nature, extent, and severity of adversarial actions with the goal of improving
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, including amendments and extensions to existing technology transfer agreements. Establish strategies, negotiate, and process all standard agreements via personal interaction with customers. Use internal
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professionals, the staff member will be responsible for setting up measurement instrumentation, aliquoting appropriate sample sizes, performing the measurement based on a procedure, and logging data
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professionals, the staff member will be responsible for setting up measurement instrumentation, aliquoting appropriate sample sizes, performing the measurement based on a procedure, and logging data
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leadership and expanding the R&D toward commercially viable fusion energy. This involves advancing diverse disciplines of materials science and engineering (including discovery, design, development, processing