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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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independently and of mentoring graduate students. This candidate should have experience with both human learning data as well as with human language data. Preferably, this will include a track record of research
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: 1. What is your preferred statistical language platform? 2. Do you have any existing peer-reviewed publications in journals? If so, what was your role in the publication? 3. Are you willing to explore
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quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
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appointment is for one year, renewable for a second year pending satisfactory performance and availability of funding. Research topics of interest include large language models with applications to various
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the measures in real-world educational settings with children from diverse language, racial/ethnic, and socioeconomic backgrounds; and (3) disseminating research results and the assessments themselves
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Number: 31390 Posting Number: S06918P Job Description: University of Texas at Dallas School of Behavioral and Brain Sciences The Department of Speech, Language, and Hearing at the University of Texas
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research, machine learning or artificial intelligence (e.g., large language models, EHR foundation models), causal inference (e.g., target trial emulation), and child health research. The research program
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Posting Details Posting Details Posting Number S06918P Position Title Postdoctoral Research Associate Functional Title Department Speech Language Hearing Salary Range $62,232 - $75,500, DOQ Pay
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in a supportive environment focused on community and career development. Applicants in any discipline of the humanities (anthropology, history, sociology, philosophy, literature, language, and the arts