851 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Cornell University in United States
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intelligence, materials science, human–computer interaction, and research leadership. Unlike a traditional software engineering role, this position requires deep scientific engagement, technical leadership, and
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The successful candidate will participate in research projects, aid in lab maintenance, and process data. The lab concentration is on antibiotic activity and resistance. A willingness to learn
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confidential, sensitive information. • Demonstrated ability to coordinate in-classroom work schedules with fellow Central School District educators, co-coordinate advisory group, and effectively prioritize
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negotiable; the position has a duration of one-year with options for renewal. Position expected start date in June 2026. The successful candidate will have expertise in the data sciences with software
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findings with stakeholders. Assist in analyzing collected program evaluation data. Assist in making recommendations for program improvement. Administrative Responsibilities: Direction – 5% Provide input in
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. This position will provide data entry of participant data requiring confidentiality. The Educator will provide information to participants regarding other Extension programs, community agencies, and services as
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simultaneously. High level of proficiency with Excel, Adobe Acrobat, MSWord, and Outlook. Familiarity with database management and/or financial management tools. Ability to handle confidential information and
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Connect): Support tech sales and basic product troubleshooting. Textbooks: Provide course material information and assist students, faculty, and staff at the textbook info desk. Inventory and Order
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leader in high-performance computing systems, applications, and data solutions that enable research success, help researchers accelerate discovery, and broaden impact. Located on our Ithaca, NY campus, CAC
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existing national datasets (including remotely sensed data) and will conduct a mixed-methods data collection campaign that emphasizes mapping intervention-specific adoption, adoption outcomes and identifying