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notifications June 1 - September 1, 2026: Fellowships start Program Details and Benefits Eligibility Requirements Applicants must have received their Ph.D. in a field relevant to the proposed research by
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inappropriately; and supporting work/life integration of oneself and others. Perform installation of and the maintenance on all building and/or utilities distribution piping systems associated with the plumber
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, workshops, program year wrap-up, and other tasks, as needed. Application Instructions In the My Information section be sure to enter your full name, address, email, and phone number(s). Include a cover
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Two Faculty Positions Available in the Department of Statistics and Data Science, Cornell University
these two positions reside, the Cornell Ann S. Bowers College of Computing and Information Science , and the School of Industrial and Labor Relations (ILR). Specializations in the department range from
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part of a stimulating, collaborative environment that values rigorous, innovative, and socially meaningful scholarship. Required Qualifications: Applicant must have a PhD in psychology, human development
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work under pressure, and solid internet/computer skills. Ability to work in teams demonstrated by cooperation, respect, and flexibility with other coworkers. Ability to advocate for individuals from a
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around the world. Position Function The Department of Earth and Atmospheric Sciences at Cornell University is seeking a Senior Research Associate to lead an innovative research program in AI, Deep Learning
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or equivalent combination Strong background in computing science and physics Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members. Familiarity with
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innovative research program in AI, Deep Learning, and machine learning applications for climate science. This research position will advance cutting-edge approaches to climate prediction, extreme event
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variety of genetic, molecular and cell biology techniques, including cloning, protein biochemistry, structural biology, computer programming, machine learning, tissue culture, fluorescence imaging, genetic