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the new Ashley School of the Environment and Global Development. This section is multidisciplinary with emphases in applied ecology, human dimensions of natural resource management, policy/governance
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students
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collaborate on projects conducted at the Cornell Lab and with partners to support their career development. Anticipated Division of Time: Develop methods and quantitative workflows using Cornell Lab data
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collaborate on projects conducted at the Cornell Lab and with partners to support their career development. Anticipated Division of Time: Develop methods and quantitative workflows using Cornell Lab data
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developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects. Developing independent
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international team of experts Assisting with project coordination and management Developing multiple peer-reviewed manuscripts as a lead-author and a co-author Requirements: PhD in ecology, disease ecology
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experience and engage in STEM learning and career training. The postdoctoral associate will contribute to existing projects and will also have the opportunity to develop independent or collaborative lines
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with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm models with explicit modeling of soil processes and plant growth. Familiarity with system
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-insect community as a model for hypothesis testing in molecular evolution. The individual will use methods such as RNA-seq to identify genes and regulatory sequences that drive plant toxin detoxification
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circuit platforms. This work includes the development and theoretical study of novel circuit architectures, aimed at improving coherence and enabling new approaches to quantum computation. The Postdoctoral