8 postdoc-data-mining Postdoctoral positions at Cornell University in mechanical-engineering
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research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
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to work in the United States. Postdocs will have an opportunity to work with one or more of the Center’s faculty members and be responsible for contributing to: Manuscripts, reports, abstracts
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research, including data collection analysis, and interpretation preferred. Strong oral and written communication skills. Ability to work independently and collaboratively within a research team. Application
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data on the lived experiences of those engaging in the project and the impact of these changes using various research methods, such as surveys, interviews, and observations. Contribute to the preparation
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biofluid samples Conceive, prototype, and benchmark new computational and AI methods for liquid biopsy, including techniques to bridge to other data modalities, e.g. imaging Apply modern machine learning
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design, implementation, and data collection across laboratory, greenhouse, controlled-environment, and field research systems – 50% Seed coating formulation, treatment evaluation, and analytical
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Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
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. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant. EEO Statement: Cornell welcomes students, faculty, and