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demonstrate a deep commitment to undergraduate teaching and advising. For full consideration, applicants should submit a resume, cover letter and contact information for up to three references
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of the program. Any position(s) would begin in September 2024 and/or in January 2025. Competitive candidates will be able to demonstrate a deep commitment to undergraduate teaching and advising and will have
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manage an agenda of change across the University. The successful candidate will be an accomplished leader with deep knowledge and experience in business transformation and enterprise system implementation
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expertise across this interdisciplinary research space at Princeton. Data scientists should have a strong track record in modeling big data using advanced deep-learning methods. A prior experience with neural
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Theatrical Design. Competitive candidates will be active teachers, practitioners, and/or scholars with a national reputation who demonstrate a deep commitment to undergraduate teaching and advising
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/or in January 2025. Competitive candidates will be able to demonstrate a deep commitment to undergraduate teaching and advising and will have published one or more published books in their genre
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together multiple models into a cohesive whole, so this individual must possess a deep understanding of the models and tools associated with the University's operating budget, capital budget, debt management
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-oriented, the role values a deep understanding of procurement best practices, and requires exceptional communication and relationship-building skills, the ability to independently conceptualize, nurture, and
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. Teaching experience as a performer/choreographer is required. Individuals who can demonstrate a deep commitment to undergraduate teaching and advising are preferred. These positions are subject to the
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., or equivalent is required. Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods -atmospheric, climate, and/or weather modeling