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/TB workflows and exporting models to transport codes. Background in spintronics or SOC-driven phenomena. Exposure to uncertainty quantification and active learning in scientific ML. Summary
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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