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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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. Must handle situations with a high degree of confidentiality, discretion, judgment, tact, and diplomacy. Highly capable in working with database software, spreadsheet software (such as Excel), graphing
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research areas and at all levels of seniority. We are particularly interested in candidates with a broad interest in data-driven decisions, especially optimization and machine learning, both in theory and
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research program in one or more of the following areas: statistical methodology, statistical theory, or data science. Candidates should be able to demonstrate a commitment to undergraduate and graduate
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Cornell Cooperative Extension. Demonstrated knowledge of principles, theory, and research in the economics of commercial production and business management. Strong interpersonal skills with proven ability
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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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and execution of the mini grants program for about 5 potential awardees. Key responsibilities: Leverage extant literature scans to build a theory of action about the research most needed to improve
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. Experience with not-only-relational data modeling such as document or graph data modeling. Experience with content production for a general audience. To Apply: Please submit a cover letter explaining your
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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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pathway to longer-term impact, please simply describe your theory of change (i.e., where your proposed work logically fits into a realistic chain of events you believe will ultimately lead to impact at a