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with training and using protein language models or similar experience with non-protein large language models. Expertise in python and machine learning implementations (e.g., pytorch). Expertise in other
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. Additional skills : experience in high-performance numerical simulation; familiarity with variational quantum algorithms and quantum simulation; experience in scientific programming (Python, Julia, C/C
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using Python, Matlab, or equivalent programming languages. Previous experience in interdisciplinary research projects at the interface between engineering, materials science, and biology will also be
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. Identification and analysis of dissolution, passivation, and interfacial reaction mechanisms at material/electrolyte interfaces. Use of scientific programming tools for data analysis and visualization (Python