879 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" "Univ" 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 biological sciences and experience in molecular genetic techniques, including high throughput sequencing and data analysis. Strong research background with comparative evolutionary questions, insect herbivores
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to streamline efficiencies and/or reduce costs. Gather, analyze, and effectively utilize internal and external data to make appropriate ordering and pricing decisions. Work collaboratively with other functional
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Program educators; fiscal management of the regular and regional data management EFNEP budgets; preparation of required reports; and work with community agencies and organizations along with outreach
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use and performance of business processes. Develop, coordinate, and provide systems training for FASE staff members. Oversee and audit data within assigned systems. Write/ interpret applications and
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advance our understanding of animal biology and address local and global issues facing animal industries today. Our goals are to discover and develop new techniques and information to benefit animals
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fruit maturity and quality using a variety of instruments and tools. Assessing fruit during storage Entering data accurately and managing data records. We are looking for an individual who enjoys working
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information and champions the constant renewal of student information systems, adapts operations to changing academic needs, federal, state, and institution policies, and evaluates administrative processes
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; recommend repair or replacement strategies; read, interpret and communicate using blueprints, technical drawings, project documents, and other relevant technical information as it pertains to maintaining
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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