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scaleup data, and support techno-economic and sustainability assessments when appropriate. 4. Characterize feed materials, intermediates, and products using appropriate analytical tools, such as, XRD, SEM
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, and drive resolution through structured processes and data-informed decision-making 4. Lead program reviews, technical interchange meetings (TIMs), and milestone assessments aligned with sponsor
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and guide cross-disciplinary integration across sensing, analytics, and systems teams. 17. Establish technical standards for ML reproducibility, data governance, and secure AI implementation. 18
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