59 development-"https:" "https:" "https:" Postdoctoral positions at Cornell University
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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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faculty and students. This role provides an excellent opportunity to develop expertise in: Integrative data analysis approaches, involving the synthesis of findings across independent studies. Lifespan
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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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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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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
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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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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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-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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Associate position are as follows with time allocation: Organize and analyze large data sets from methane mitigation trials (60%). Lead in-vivo studies to develop novel technologies aimed at reducing methane
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expertise spanning engineering student learning and identity, faculty development and pedagogy, design- and project-based learning environments, institutional transformation in engineering education, and