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information for three references (letters of recommendation will be requested later in the process) For further information about the position, please contact Dr. Fenghua Hu ([email protected] ). Deadline and
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environment with strong connections to Weill Cornell Medicine in New York City. . The De Vlaminck Lab is an interdisciplinary team of engineers, biologists, and data scientists united by a passion for precision
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advance the study of cultural heritage objects using synchrotron x-ray techniques through building partnerships between CHESS scientists, Cornell faculty, and regional collecting institutions and to lower
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of scientists and practitioners to model decision-mediated relationships among farmer livelihoods, milk production efficiency, and methane emissions in the dairy sector. The postdoctoral associate will
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. The postdoctoral associate will be expected to work both collaboratively and independently on research projects, advancing computational methods using machine learning, developing automated pipelines for data
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scientist to conduct research on the ecological, chemical, and the molecular mechanisms that mediate in microbe-plant-insect interactions in complex communities using model and non-model organisms
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and protein biochemistry. We are particularly looking for scientists with expertise and/or interest in any of the following areas: Genetics-based experiments to determine the roles of particular
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emissions and enhancing the efficiency of nutrient utilization (20%). Collaborate with Cornell scientists focused on livestock methane to support projects that rely on animal-derived data (10%). Disseminate
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candidate will work with interdisciplinary teams of engineers, health informaticians, clinicians, data scientists, and behavioral scientists from Cornell Engineering and Weill Cornell Medicine. The role
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world. Position Function This position requires an experienced scientist to conduct research on the ecological, chemical, and the molecular mechanisms that mediate in microbe-plant-insect interactions in complex