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not limited to, historical research and writing, data organization and management, digital humanities projects, GIS, foreign language translation, and public history work. The DPAA Research Partner
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and in other collaborating labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas
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HAI Postdoctoral Fellowship with Professor Chris Potts, Department of Linguistics Foundation Models (FMs) are enabling researchers to build AI systems at higher levels of abstraction and with lower
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with server-side web application development * Experience with client-side web programming, using HTML, CSS and Javascript * Experience with Python scripting language and related libraries: Numpy
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data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data. * Adapt new, nonstandard
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Matlab, Python or another suitable language, 5) Strong trouble-shooting and problem-solving skills 6) Ability to work and communicate effectively in a collaborative team environment. 7) Good organizational
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principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data. • Adapt new, nonstandard methods outlined by
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the supervisor outlines conceptual approach. ● Build and organize data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in
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viruses 4. Integrating AI tools like large language models to curate antiviral drug resistance papers and to manage inquiries This fellowship is designed to hone your skills and foster new learning. You’ll
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agricultural economics, and an understanding of frontier methods in Natural Language Modeling, Large Language Models, and Big Data Management and Analytics. The candidate will be responsible for compiling and