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Field
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Developer- AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias  Location: Remote (U.S. based only) Division: Rabb School of Continuing Studies in collaboration with the Heller
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, professional practice, and pedagogy. Relevant areas for research specialization include but are not limited to AI-mediated advertising and persuasion, human-AI interaction, generative AI, algorithmic and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
include: 1. Designing and implementing software components, data structures, algorithms, APIs, and research workflows using Python and related technologies. 2. Developing and operating containerized
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the opportunities and challenges presented by artificial intelligence. Bowdoin College offers opportunities for professional development, a fully-funded, year-long pre-tenure sabbatical leave (after three years
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/proteomic/clinical.]; data management and analysis solutions that assist in storage, investigation and dissemination of large data sets. Works with research team to develop new algorithms to support studies
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consequences of reliance on algorithmic approaches to public policy implementation; methodological development at the intersection of social science and AI/machine learning. It is advantageous to have expertise
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was created to advance research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines. In addition to providing support to core foundational
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support is available for mentoring undergraduate research, participating in faculty development, and leading student-centered initiatives. Faculty are expected to develop and teach a variety of courses
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computing and artificial intelligence. Areas of interest include, but are not limited to, the following: Quantum Machine Learning and AI: Develop novel quantum algorithms and computational frameworks
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courses with minor algorithmic components and primarily programming courses with a focus on bioinformatics methods. Such graduate courses seek experienced bioinformatics, biotech, and data science