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, our students turn theory into practice while preparing to become future leaders of the public health workforce. University Job Title: Admissions Associate I Job Family: Student Services Level: E Pay
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by doing theory-based empirical research. We seek innovative scholars of social science who will develop a research program connected to college and university priorities in addressing how people
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development theory and student affairs trends related to advocating and supporting women, gender expansive students and other marginalized communities. Demonstrated understanding of the student experience
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of developing a national and international reputation by doing theory-based empirical research. We seek innovative scholars of social science who will develop a research program connected to college and
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of confidentiality, discretion, judgment, tact, and diplomacy. Highly capable in working with database software, spreadsheet software (such as Excel), graphing and charting software, word processing
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in theory and practice, and including AI-based applications. In keeping with the mission of Cornell Tech, applicants must also have a strong interest in activities that reach beyond academia
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Two Faculty Positions Available in the Department of Statistics and Data Science, Cornell University
) in the College of Agriculture and Life Sciences. Applicants should have a recognized research program in one or more of the following areas: statistical methodology, statistical theory, or data science
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, statistical theory, or data science. Candidates should be able to demonstrate a commitment to undergraduate and graduate education, and a commitment to collaboration, collegiality, and building an inclusive
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-learning approach give our students uncommon flexibility in developing the skills they need to make an impact in their desired careers. And, by working with community partners, our students turn theory
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levels of seniority. We are particularly interested in candidates with a broad interest in data-driven decisions, especially optimization, machine learning and statistics, both in theory and practice, and