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library preparation, and analyze microbiome data. The candidate will also perform quantitative trait loci (QTL) analysis and is expected to summarize and present results both within the lab and at
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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lipid-dependent host-microbe interactions. More information about research in the Johnson Lab can be found at www.johnsonlab.nutrition.cornell.edu . The successful candidate will be expected to run and
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choose to submit a stand-alone statement or embed the information in other parts of their application materials. [1000 words max] One writing sample [30 pages max] Syllabi from courses taught Letter of
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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final publishable-quality tables and figures for inclusion in research manuscripts 3. Write (and clearly document) SAS or R programs to clean, maintain, and analyze datasets 4. Manage data-related
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level. Primary tasks will include analyzing and publishing data from several federally funded projects that have been recently completed. The Postdoctoral Associate will have the opportunity to lead
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) description of research interests and should arrange for three letters of reference to be submitted through Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/31243 . All materials should be
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to beneficial insects including honeybees. Additionally, the susceptibility of Colorado potato beetle populations to commonly used insecticides will be determined. This information will be used to develop risk
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work on the CMS experiment at the Large Hadron Collider (LHC). The Cornell CMS group has a broad involvement in many aspects of the experiment, from data analysis to detector operations and HL-LHC