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provides strategic leadership for the universitys learning data ecosystem to drive institutional data strategy. This role is responsible for the vision, development, and scalability of learning analytics
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capable of complex reconfigurable functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device
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of performance targets such as efficiency, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally
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are encouraged to apply. Strong background in physics, mathematics and software or hardware development skills are essential for this research. Also, the ability to communicate both verbally and in written format
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to quality assurance. High level of proficiency in computer software packages with effectiveness, accuracy and attention to detail and the ability to learn new technical skills. Please Note: Appointment to
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, security and sustainability, and committed to training graduates who will be leaders in promoting justice and the public good in the new age of technology and globalization. The Associate Dean for Strategic
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and pursue a coherent research agenda The ability to develop a body of high-quality publications in scholarly journals with global impact Proficiency in statistical software packages, including R and
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. This is accomplished through broad access to comprehensive academic and co-curricular programs that develop students into leaders for a diverse and global society. The University of North Georgia is a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Posting Information Posting Information Department University Development Office-250100 Career Area Development and Fundraising Posting Open Date 03/11/2026 Application Deadline 03/24/2026 Open
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database systems for Alzheimer's disease. Develop and implement artificial intelligence (AI) and machine learning (ML) pipeline and software tools for patient subtyping, target prioritization, and drug