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design through data work, analysis, and publication, with the goal of co-authored papers aimed at leading economics and interdisciplinary journals. Contribute to ongoing lab projects or priorities based
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://stanfordsciencefellows.stanford.edu/apply(link is external) Stanford Energy Postdoctoral Fellowship: https://energypostdoc.stanford.edu/(link is external) Data Science Fellowship: https://datascience.stanford.edu/programs/data-science
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engineering Training in data analysis, environmental field measurements, CO2 and methane emissions from natural and managed ecosystems, and/or instrument calibration preferred. Engineering or design experience
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: The Postdoctoral Research Fellow will have completed a PhD and we welcome applicants from public health, epidemiology, medicine, environmental science, design, engineering, data science, implementation science or
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! Required Qualifications: PhD in related scientific fields of ecology, environmental science and/or earth system science. Demonstrated experience leading projects and publishing results. Demonstrated
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Stanford Departments and Centers: Environmental Social Sciences Postdoc Appointment Term: 12 months renewable for an additional 2 years based on satisfactory performance and availability of funding
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Centers: Earth System Science Mechanical Engineering Medicine, Infectious Diseases & Geographic Medicine Postdoc Appointment Term: This position is confirmed for two years, pending satisfactory performance
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linguistics, cognitive science, and computer science. Required Application Materials: Cover letter (<1 page) CV Copies of two research papers that demonstrate research agenda Contact information for two letters
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physiological responses to hormones, neurotransmitters, and environmental stimulants. We take an interdisciplinary approach that combines proximity labeling proteomics, structural biology, computational modeling
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publicly available data and primary data collection. Our lab emphasizes deploying novel strategies to evaluate the impacts of environmental change on human health, in order to better design and test