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eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational methodological perspective and from the perspective of data-driven
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) • Several years of experience in research management of quantitative social science data, such as the development, processing, analysis, and archiving of survey data, experimental data, or text data
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years (or full-time equivalent) of relevant research experience. Experience with the application of data-science to explore scientific questions relevant to agriculture or similar scientific fields (e.g
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scientific dissemination Support grant applications, supervise junior researchers and students, and contribute to teaching activities in AI and data science for medicine Your Profile PhD in Artificial
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
, Bioinformatics, Data Science, Pharmaceutical Sciences, Computer Science, Regulatory Science, or related fields. Required Qualifications, Competencies, and Experience - Strong publication record in relevant
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Classification Title: Postdoctoral Scholar in Natural Language Processing and Mammalian Evolution Classification Minimum Requirements: Ph.D. in natural language processing, computer science, data
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Position Description The Massive Data Institute (MDI) and the Department of Computer Science seek a postdoctoral fellow to join a project that focuses on responsible AI innovation. The project is led
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science/data science, or a related field. We welcome applicants from epidemiology, biostatistics, data science, public health, health services research, geography or spatial science, computer science
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responsibilities accurately and efficiently. Maintains research documentation and data quality standards. Perform other job-duties as assigned. Minimum Qualifications MD or Ph.D. in Basic Science, Health
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to engage in methodologically rigorous, high-impact research at the intersection of developmental neuroscience, psychiatric epidemiology, and advanced computational data science. UVM is a Carnegie R1