67 data "https:" "https:" "https:" "https:" Postdoctoral positions at Cornell University
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information on application materials is available at https://www.birds.cornell.edu/home/postdoctoral-scholars-program/ Applications will be reviewed starting September 9th, 2026 and applicants are strongly
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for advanced data analysis and/or experimental control (e.g., Python, SPEC, MATLAB, etc.) Experience with relevant sample preparation and lab-based analyses (e.g., SEM, Raman) Experience with or interest in
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://academicjobsonline.org/ajo/jobs/32334 ">https://academicjobsonline.org/ajo/jobs/32334 . Qualified candidates should submit a short cover letter, curriculum vitae, 2-page research proposal, and contact information
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Associate will receive $70,000.00 in salary as well as a modest research budget and moving allowance. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and
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. Anticipated Division of Time Data collection, analysis, and interpretation (70%) The postdoctoral associate will design, execute, and interpret all experiments related to the project in collaboration with other
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). The candidate will also have the opportunity to develop a small outreach project through an ongoing collaboration with the Ithaca Sciencenter. Anticipated Division of Time Data collection, analysis, and
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lead analysis and integration of household-level socioeconomic data with production, herd dynamics, and methane emissions datasets to develop and evaluate a dynamic simulation model of smallholder dairy
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or neuromorphic computing, or mixed-signal microsystems. Strong experimental skills in device characterization, electrical measurements, data analysis, and troubleshooting. A Ph.D. in Electrical Engineering
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contribute to ongoing research projects with Artificial Intelligence (AI) focus related to the Center for Applied Research on Work (CAROW). Responsibilities include: the utilization of direct data and
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. The postdoctoral associate will be expected to work both collaboratively and independently on research projects, advancing computational methods using machine learning, developing automated pipelines for data