92 parallel-computing-numerical-methods Postdoctoral research jobs at Cornell University
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mediated by a predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab experiments of insect behavior, movement, abundance, non
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predatory stink bug and the prey itself to develop methods to control Colorado potato beetle. This position will combine field and lab experiments of insect behavior, movement, abundance, non-consumptive
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formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum. The position is supported by Cornell’s
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studies. Lifespan developmental perspectives linking psychological factors to health. Cutting-edge quantitative analytic methods. Core responsibilities include: Conducting data analysis for ongoing projects
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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
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Cornell University, Society for the Humanities Program ID: Cornell-Society for the Humanities-HSP_POSTDOC [#31380, WDR-00041247] Program Title: Humanities Scholars Program Postdoctoral Associates
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of Prof. Ariel Ortiz-Bobea (Dyson) and in coordination with Dr. Joseph Amsili, Director of Cornell’s Soil Health Program. The ideal candidate will possess a PhD in economics, agricultural and resource
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candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in developing this program. We are also particularly interested in strengthening the group working the CMS
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developing this program. We are also particularly interested in strengthening the group working the CMS Track Trigger or Forward Pixel Detector for the HL-LHC upgrades. A PhD in experimental high energy
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches