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Science or a closely related discipline. We seek exceptional candidates in broad areas of artificial intelligence, data science, and machine learning. Successful candidates will have a commitment to excellence
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with a PhD in Theology or closely related field who can contribute dynamically to the growth of the Great Texts major as well as teach Black Intellectual Traditions and/or courses for a new
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Time Description: The School of Education seeks a Clinical Assistant or Associate Professor of K-12 Educational Leadership to teach primarily within the Masters of School Leadership (MASL) program. The
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, 2025 Deadline Jan 01, 2026 at 11:59 PM Eastern Time Description The School of Education seeks a Clinical Assistant or Associate Professor of K-12 Educational Leadership to teach primarily within
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energy systems; wireless and photonics systems, semiconductors, RF, and devices; AI and machine learning; advanced computing, cyber-physical systems and bioengineering. The department is housed within
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availability of continued funding. Additional responsibilities include: Mentoring PhD students and collaborating with academic and industrial partners Participate in the preparation and writing of journal
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members. The faculty members are internationally recognized in research areas including power and energy systems, wireless and photonics systems, semiconductors, RF, and devices, AI and machine learning
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are internationally recognized in research areas including power and energy systems, wireless and photonics systems, semiconductors, RF, and devices, AI and machine learning, advanced computing, cyber-physical systems
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including power and energy systems, wireless and photonics systems, semiconductors, RF, and devices, AI and machine learning, advanced computing, cyber-physical systems, and bioengineering. The department is
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are internationally recognized in research areas including power and energy systems; wireless and photonics systems, semiconductors, RF, and devices; AI and machine learning; advanced computing, cyber-physical systems