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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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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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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
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are especially encouraged to apply. Experience in advanced numerical methods is preferred, but not required. Applications should include: Complete CV Publication List Research Statement (1-3 page) 3 letters
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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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will be based in New York City (NYC) and report to Tashara M. Leak, PhD, RDN, Associate Professor in the Division of Nutritional Sciences (https://www.human.cornell.edu/people/tml226 ) and Co-Director of
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Humanities Scholars Program Postdoctoral Associates Call for Applications: Humanities Scholars Program Postdoctoral Associates Open to Cornell PhD Candidates and Recent Cornell PhDs Eligible
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studies. Lifespan developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects
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scientists and build a workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex