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National Laboratory is hiring a Postdoctoral Scholar - AI-Assisted Physical Vapor Deposition of Thin Films within the Molecular Foundry Division. This position will accelerate process development and
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this understanding into improved capacitor performance. This role is well suited for candidates with strong laboratory skills in polymer materials, composites, and electrical characterization. You will: Process and
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to analysis of experimental data. Of particular interest will be new approaches for tackling multimodal data, quantifying uncertainty, providing rigorous theoretical guarantees, and modelling complex physics
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papers and reports. We are looking for: Ph.D. in Chemistry/Physics/Materials Science, or similar fields. Density Functional Theory, Molecular Dynamics (ab-initio MD and/or nonadiabatic MD), Kinetic
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. Contribute to shared workflows, datasets, and user-accessible protocols supporting molecular QIS research at the Foundry. We are looking for: Ph.D. in Chemistry, Materials Science, Physics, or a closely