715 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Cornell University in United States
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: January 19, 2026 (for full consideration) Apply online at AJO: https://academicjobsonline.org/ajo/jobs/31255 The Center for Data Science for Enterprise & Society at Cornell University seeks to recruit
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awareness and skill building. The CIT Specialist is responsible for the review and implementation of the CIT curriculum for campers 16 years of age, using 4-H and Positive Youth Development practices
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development trainings and participate in the performance evaluation process. We require these qualifications: BS in health physics, nuclear engineering, radiological engineering, radiological sciences, physics
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, which may be accessed here: http://workday.cornell.edu/ . Please contact the CCE office at 607-391-2660 with questions. POSITION DETAILS: This position is a full-time exempt position, 100% FTE. The summer
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vibrant structural biology community. The role blends (1) expert user support for routine and advanced macromolecular crystallography (MX) and (2) collaborative development of new X-ray diffraction
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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at: https://academicjobsonline.org/ajo/jobs/30800 Evaluation of applicants will begin November 1st, and continue until the positions are filled. Salary Range: $58,300 - $237,300 The salary range reflects
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support; program guidance (with assessment and development oversight provided by the supervising Senior Resource Educator); direct outreach to the ag community and other key stakeholders; and acts as the
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submitting the following materials: Cover letter Curriculum Vitae Teaching statement Two reference letters, at least one of which focuses on the candidate’s teaching experience and skills at https
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analysis of effective tutoring moves that promote student motivation, engagement, and learning Development and evaluation of approaches to AI tutoring agents that build on high-quality data (e.g., training