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Postdoc in assessing carbon sequestration potential of different wetlands as nature-based solutio...
Sensing, Geoinformatics, or similar. We are searching for a highly motivated candidate who has: Knowledge of carbon cycling and dynamics in wetlands Knowledge and experience with working with process-based
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, genetic, and proteomic data. Working Conditions: This position works in a laboratory environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear
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Gan and Dr. Yijie Jiang to conduct experimental measurements of acoustic-mechanical transmission through the ear in human temporal bone study and animal model of chinchilla. Of particular interest
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, chemicals, infectious agents, animals, human subjects, and the like Open and timely discussion with the mentor regarding all facets of the Postdoctoral Appointee's research activities. Postdoctoral Appointees
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remains the property of Duke University upon termination Adherence to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like Open and timely
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Job no:534628 Work type:Faculty - Other Location:Eugene, OR Categories:Research/Scientific/Grants, Physics, Neuroscience Department:Research Department: Institute of Neuroscience Rank: Postdoctoral
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contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and the environment. We want to make a difference by contributing to both
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the U.S. Geological Survey Climate Adaptation Science Centers. The successful applicant will conduct research related to modeling potential disruptions to animal migration under projected climate extremes
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environment with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals. Salary Range: Base
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data