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Field
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Integration group within NCCS. Specific areas of research interest include: Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications
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, patents, and proprietary sources to train and validate predictive models. Integrate retrosynthesis tools with cheminformatics platforms and molecular modeling software. Collaborate with synthetic chemists
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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g., FactSage, Thermo-Calc, etc). Previous involvement in industry-oriented or collaborative
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems