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supervision including but not limited to dealing with camper behavior issues, failure to thrive in camp environment, etc., assisting with weekly program design, implementing afternoon and evening programs and
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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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of the greatest relevance, here in New York, across the nation, and around the world. The Department of Biological and Environmental Engineering (BEE) is diverse with two distinct and highly integrated program
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challenges and opportunities of the greatest relevance, here in New York, across the nation, and around the world. The New York State Integrated Pest Management Program (NYSIPM) at Cornell AgriTech is part of
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| Working at Cornell Cornell's impressive educational benefits include tuition-free Extramural Study and Employee Degree Program, tuition aid for external education, and Cornell Children's Tuition Assistance
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education program. The university is committed to excellence in academics and athletics, gender equity and diversity in its programs, and a well-balanced, broad-based intercollegiate athletics program
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program support, and cross-departmental collaboration. We are looking for a leader who: Excels at both high-level strategy and ground-level execution. Champions the growth and well-being of their direct
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of the economics of commercial production. Preparing quarterly reports, impact statements, and yearly success stories on program progress and accomplishments. Participating in regional, statewide, and national work
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comprised of the Public Safety 911 Communications Center, Cornell University Police Department, Emergency Management, Clery Compliance, the Access Control Program, Community Response Team, and the Public
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hired at either assistant or associate rank in the College of Agriculture and Life Sciences. Applicants should have a recognized research program in one or more of the following areas: statistical