24 natural-language-processing-intern Postdoctoral positions at University of Virginia
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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-funded research project focused on teacher professional learning in English language arts. The ideal candidate is a scholar in literacy/English teacher education and teacher learning who has extensive
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on the potential survival of consciousness after death. Today, our broad mission is the scientific investigation of phenomena that challenge currently accepted models of the nature of mind and consciousness
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Communicate results through peer-reviewed publications, internal and external presentations, conferences, and websites. Minimum Requirements: Doctoral degree in a quantitative discipline such as computer
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the Director of the College Fellows. This position is located in Charlottesville, VA. To Apply: Apply here. Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs.’ Complete
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their communications Data Collection and Analysis: Collect data on the implementation process, including facilitator performance and participant feedback Analyze fidelity data to identify areas where
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considered, with the following areas particularly encouraged: Media studies, African American and African studies, American studies, Anthropology, Education, English, History, Music, Science & Technology
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experience, mouse colony management, tissue collection and processing for molecular biology analysis. Molecular Biology: Western blot, Immunoprecipitation, Northern blot, PCR, RT-qPCR, ChIP, RNA-IP, Click-IT
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cell biology. Additional preferred qualifications include: experience in mouse models of disease, flow cytometry, single-cell RNA sequencing analysis, and image processing and analysis. Qualified
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of national research infrastructures Evaluating the evolution of Generative AI performance over time and across tasks Analyzing international AI models and their representations of the U.S. in global discourse