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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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improve the overall learning experience for students. The project seeks to promote lifelong learning by revolutionizing traditional teaching methods and providing innovative tools for interactive and
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of phylogenomics to work with Professor Tiago Simões. The Simões lab is broadly interested in phylogenetic methods and applications, using morphological and genomic data for reconstructing evolutionary
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stocks and equipment and be responsible for coordinating repairs when needed. Maintain laboratory records for experiments for publication methods and for others to repeat experiments. Correspond with other
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding
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position in MR Physics. This successful applicant will help with development of MR imaging methods to study tumor metabolism and response to therapy. The research in the MRRF is focused on the development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Hiring Range $62,000 - $65,000, dependent on experience Proposed Start Date 10/20/2025 Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in
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are not limited to: organize and implement research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests procedures and engage in data
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of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding