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and abundance of fish and larger invertebrates, and Cornell is at the forefront of the application of these methods in lakes. We are now collecting data with automated systems using uncrewed drones
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qualitative research methods, experience in research operations, and a demonstrated ability to collaborate across multidisciplinary teams. The Postdoctoral Associate will help to transform and expand the way
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integration, large-scale mobility modeling, and translating advanced systems methods into operational tools used by cities, MPOs, and state DOTs. Position Overview The Postdoctoral Associate will lead and
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statistical methods. Supported by the ARPA-E TEOSYNTE and CERCA projects, this position is part of a national effort to improve nitrogen use efficiency on farms by modifying genetic pathways that control root
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mediated by a predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab experiments of insect behavior, movement, abundance, non
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to the work of the NTO. Further, this program is meant to produce use-inspired basic and applied research with a strong AI component, driven by real-world education applications. Faculty mentors are expected
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quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent and collaborative publications by accessing available longitudinal data
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Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four
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the interactions among urban infrastructure and environment networks. This opportunity will have the ability to develop complex systems analytics models, optimization methods, and computational tools for real-world
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predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab experiments of insect behavior, movement, abundance, non-consumptive