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prey interactions and how to manipulate insect semiochemicals to protect plants Research biological control Conduct field and lab experiments Data analysis and writing: 30% Translate statistical data and
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disciplines, including but not limited to Information Science, Computer Science, Learning Science, Statistics, Economics, Psychology, Linguistics, and Sociology. Applicants must submit an up-to-date CV
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interactions and how to manipulate insect semiochemicals to protect plants Research biological control Conduct field and lab experiments Data analysis and writing: 30% Translate statistical data and apply
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; funded by the National Institutes of Health and the Centers for Disease Control and Prevention. The post-doctoral associate will provide expertise in statistical analyses and assist with the development
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disciplines, including but not limited to Information Science, Computer Science, Learning Science, Statistics, Economics, Psychology, Linguistics, and Sociology. Applicants must submit an up-to-date CV
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analysis and writing: 30% • Translate statistical data and apply results • Publish research results in peer reviewed publications Undergraduate mentoring: 10% • Train graduate and undergraduate students in
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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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: Position Type: Postdoctoral Position Location: Ithaca, New York 14853, United States of America [map ] Subject Areas: Natural Resources Ecology / Avian Ecology statistical analysis Appl Deadline: none
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of the greatest relevance, here in New York, across the nation, and around the world. Position Function We seek a Postdoctoral Associate with experience in statistical modeling, who is also interested in or has
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terminal degrees from various disciplines, including but not limited to Information Science, Computer Science, Learning Science, Statistics, Economics, Psychology, Linguistics, and Sociology. Applicants must