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, and related materials. Research activities will include developing solution-based processing methods, optimizing powder mixing and dispersion, fabricating dense composites through thermal consolidation
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pathways using quantum mechanical methods Develop advanced AI/ML models, including agentic and physics-aware approaches, for applications in catalysis Collaborate closely with experimental teams to connect
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the development of AI models for robotic control and the demonstration of these methods via simulation and experiment. Beyond the listed projects, the candidate may contribute to other large-team scientific
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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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-friendly software interfaces that enhance data accessibility of data and insight for diverse stakeholders. Facilitate ongoing communications and foster relationships with a broad array of stakeholders
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to establish structure-property relationships and advance the understanding of emergent quantum phenomena. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years
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applying artificial intelligence (AI) and machine learning (ML) methods for the autonomous, self-driving synthesis of nanoscale and quantum materials. This is an exciting opportunity to help shape a new
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, presentation of results at conferences, and production of peer-reviewed publications. Position Requirements PhD in chemical engineering, chemistry, electrochemistry, materials science, or a related field
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Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of chemistry, geochemistry, chemical engineering, physics, materials science, or a closely related field Strong experience with
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processing approaches and dry head-end separations methods; evaluating process performance; and contributing to technical reports, publications, and sponsor deliverables. The successful candidate will work