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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects
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to emergencies and threats, such as infectious disease outbreaks and natural disasters. DEO applies decades of emergency management experience to put the right people, plans, and processes in place to prepare for
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, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant
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: This opportunity is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science
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to U.S. Citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE
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processes, government contracting, and program evaluation. This project will provide an opportunity to collaborate and gain skills on a high-profile administration goal with representatives from throughout
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time and if selected, your appointment offer will include the monthly stipend rate. Citizenship Requirements: This opportunity is available to U.S. citizens only. ORISE Information: This program
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medical devices and systems using advanced technologies such as automation, artificial intelligence and machine learning, robotics, telemedicine, advanced displays, computer vision, and data-driven decision
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with unit collaborators to upload genotypic and phenotypic data directly into the GRIN-Global database or to link all data via an external public platform for access. The program has office, laboratory
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medical devices and systems using advanced technologies such as automation, artificial intelligence and machine learning, robotics, telemedicine, advanced displays, computer vision, and data-driven decision