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child development, and military family life. Familiarity with issues revolving around poverty, families at risk, and domestic violence. Familiarity with community, social and human service organizations
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level to the extent education is relevant to the position Unique applicable skills Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union
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, healthy, and equitable community where students, faculty, and staff with different backgrounds, perspectives, abilities, and experiences can learn, innovate, and work in an environment of respect, and feel
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This position will serve as a Teacher Tutor for Cornell Cooperative Extension Association of Jefferson County in support of the 21st Century Community Learning Center (CCLC) Program and will provide
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undergraduates and 1,300 graduate students spread across 27 academic buildings (~850,000 nsf). What We Need We are looking for a team member who is collaborative, willing to learn, has attention to detail and can
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). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology
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. The successful candidates will conduct research and teach in the areas of advanced data science, statistical methodology, or statistical theory to advance the mission of the department. Candidates will be
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). Specializations in the department range from mathematical statistics, computational statistics, and machine learning to the development of statistical methods for astrophysics, ecology, economics, epidemiology
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Cornell University is committed to increasing the enrollment of military veterans in our undergraduate programs and to enhancing the support available to our student veterans to help them thrive
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/phone. All applications are read online. Candidates must have a recent computer (preferably fewer than 5 years old) with a reliable, high-speed internet connection, and must have access to a private