Lead Computational Materials Scientist
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Chemstars seeks a seasoned computational materials scientist to lead discovery efforts, designing DFT-based workflows and integrating AI/ML to accelerate screening of crystalline materials. You will collaborate with synthesis and characterization teams to translate predictions into experiments and contribute to a closed-loop discovery engine.
The role requires a PhD and 4+ years in DFT on crystalline materials, with strong Python skills and a track record in automation, high-throughput