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strategies for vector-borne disease. The Postdoctoral Associate will design and execute experiments, generate and analyze high-throughput sequencing datasets, prepare manuscripts as first author, present
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research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems can be designed and transformed to support meaningful
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Division of Time 85% - conduct independent research, including design and execution of experiments, analysis of results, and preparation of findings for publication 10% - contribute to laboratory maintenance
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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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aligned with the Lab's mission. Ability to conduct original research, from conception to completion. Strong record of success conducting research and scholarly activities, including publication in peer
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to explore diet-microbiome-host interactions across multiple systems. Main responsibilities would include designing and executing experiments to interrogate host-microbe interactions, analyzing and
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seek a candidate with strong capabilities in hurricane modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics
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for Advanced Computing. Essential Qualifications PhD in computer science, physics, chemistry, materials science, or a related field is required by the start of the appointment Experience with programming
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review requests to the Cornell IRB; design of interview and focus groups protocols; analysis of qualitative data results from interviews and focus groups; survey design, data collection, and analysis
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include designing and executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical