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, United States of America [map ] Subject Areas: Climate Change Sustainability Labor and Employment / Unions Workforce Development Education Finance / Geospatial analysis Appl Deadline: (posted 2025/05/23, listed until 2025
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environment. Experience handling confidential information with discretion and professionalism. Sound and ethical judgment when acting on behalf of the University. Ability to cultivate and develop inclusive and
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of labor, employment, climate justice and climate change. These positions are responsible for developing and delivering programs and services that are closely aligned with the strategic mission and core
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Victoria, Kenya. The postdoctoral fellow will be based at Cornell University and will work primarily on a research project analyzing how cyanoHABs around Lake Victoria, Kenya are impacting aquatic food webs
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around ML/AI with Amazon Web Services (AWS). The position emphasizes both technical innovation and research program development, connecting fundamental climate science with practical applications while
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to stakeholders; promoting the use of university-wide systems for common functions to improve data quality and security, eliminate duplicative systems, and gain efficiencies. Developing and delivering trainings and
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experience developing web resources and presentations. This position is full-time (39 hours/week) and will be located in Ithaca, New York. There is the opportunity to work remotely within New York State two
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and web-based tools (e.g., Microsoft Office, Microsoft Teams, Zoom or videoconferencing software, Lexis Nexis, library databases, and Qualtrics) Ability to cultivate and develop inclusive and equitable
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innovative big data analysis tools and machine learning to produce web applications and services to empower a global community of bird and nature enthusiasts, researchers, conservationists, and educators
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. Experience using Workday, OLGAA, Exchange Group Accounts, Cornell Box, Dropbox, and Academic Jobs Online. Experience working with Drupal, HTML, or other web development tools. Familiarity with survey tools