721 data-"https:" "https:" "https:" "https:" "https:" "https:" "Here We Are" uni jobs at Cornell University
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investigating subjects such as disease resistance and fruit quality. Duties include: Support field trials including by sowing, transplanting, trellising, harvesting, and processing seed. Collect data and perform
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investigating subjects such as disease resistance and fruit quality. Duties include: Support field trials including by sowing, transplanting, trellising, harvesting, and processing seed. Collect data and perform
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will help to implement and communicate standard procedures and expectations related to proposal submission and will provide timely updates and data related to pending proposal submissions. Due
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the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an
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, by emailing mycareer@cornell.edu . Notice to Applicants: Please read the required Notice to Applicants statement by clicking here . This notice contains important information about applying for a
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and confidential information to maintain and ensure the privacy of all Cornell customers' work, study, living and research areas. Ability to comprehend and maintain a high level of security in all
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. Duties include: Support field trials including by sowing, transplanting, trellising, harvesting, and processing seed. Collect data and perform standard calculations. Input, retrieve, and record
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judgment, and the ability to handle confidential, sensitive information. • Ability to organize, manage, and prioritize multiple tasks, deadlines, requirements, and priorities to complete work in a timely
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document regular routine and preventative maintenance on all tools and equipment and gather information to support recommendations for equipment additions and replacements. Provide oversight and consultation
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local Long Island farming, sustainable agriculture, and best management practices. Evaluate current operations, identify opportunities for improvement, and recommend practical, data-driven solutions