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approaches across disciplines, from algorithms that analyze financial systems to technologies that improve health outcomes through data integration. Students gain in-demand skills and the ability to leverage
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for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare
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, APIs, and SDKs by reading documentation • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. • Experience with common data
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
Professor Positions to begin on or after July 1, 2026. We seek scholars with expertise in (1) Algorithms and Complexity Theory and (2) Bioinformatics and Computational Biology. We also welcome applications
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algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational requirements. Ability to identify and gain expertise in appropriate new
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are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital
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NVIDIA A100 or higher performance. Knowledge of statistical and predictive modeling concepts and disciplines including AI and ML algorithms. Familiarity with evaluating accuracy or quantifying uncertainty
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and financial planning tools; this includes modeling new algorithms, creating functional specifications, and testing and/or validating new financial planning tools. Collaborate with other members
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), data structures and algorithms, databases, operating systems, networks, computer security, and software engineering; (2) prepare course syllabi and handouts; (3) evaluate and grade student assignments