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related Data Science area such as Biostatistics or Statistical/Machine Learning and have a track record of independent research of international standing. Reporting to the Head of School of Mathematical
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Caribbean populations of African descent. Most mechanistic insights derive from non-representative cohorts, limiting biomarker discovery and therapeutic precision. Recent multi-omic and machine learning
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community outreach. The successful candidate will teach lower-division language courses and upper-division courses related to media literacy, digital storytelling, translation, and Spanish for the professions
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professionals at undergraduate and graduate levels, promotes lifelong learning, and enhances the well-being of individuals, children, and families residing in rural, urban, and military communities throughout
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 11 hours ago
Posting Details Posting Details Position Title Visiting Assistant Professor of Economics (Non-Tenure Track) External Link to Posting https://jobs.uncw.edu/postings/38861 College Cameron School
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or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience in interdisciplinary collaboration
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journals or conferences; experience with or a strong aptitude for using advanced computational tools, AI, or machine learning techniques to address engineering challenges; and interest or initial experience
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning
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Scientist II to design, develop, and deploy data science and machine learning solutions and assist in the implementation of data engineering infrastructure for public health analytics, including the Rapid