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with background and experience in language modeling and interests in applications in the health and social sciences. Specific potential projects include: Using language models for scientific discovery
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. Preferred qualifications PhD or equivalent in Nuclear Engineering, Physics, Chemistry, Materials Science or related disciplines Demonstrated proficiency with computational modeling, e.g., DFT simulations
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language models that can democratize access to reliable health information. Applicants will collaborate closely with PI Emma Pierson as well as other PhD students and postdocs in the lab. Union: https
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collaborator Dr. Cynthia Gerlein-Safdi (Civil and Environmental Engineering, Berkeley) and assistance from at least one PhD student. In person work is required, but a hybrid working arrangement may be considered
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of state voting legislation for the Voting Laws Roundup. This work includes developing computational tools (e.g., using large language models, machine learning for text analysis and classification, etc