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research using complex observational healthcare data, with a focus on cancer studies. The successful candidate will be expected to: Modeling multilevel survival data while addressing confounding and missing
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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
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applicants: Apply through your Workday profile by searching “Find Jobs.” For questions about the application process, please contact Jeremy Brofft, Senior Recruiter at xmf9ad@virginia.edu . The University
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normal and cancer cells, and mouse models. Research in the Trinh lab centers on protein- and RNA- mediated gene regulation via modulating chromatin architecture in development of immune cells, particularly
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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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process Skill Survey. A total of five references will be requested via SkillSurvey during the final phase of the interview process. For questions about the application process, please contact Jon Freeman
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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