14 software-verification-postdoc Postdoctoral positions at Cornell University in computer-science
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resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI
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tenure-stream faculty member in the College of Arts & Sciences who has agreed to sponsor and mentor the postdoc. Please ask referees to upload their letters directly through the link provided by Academic
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website for Cornell Funded Postdocs https://postdocs.cornell.edu/benefits/cornell-funded-postdocs-benefits/ Pay Range: $62,232.00 - $88,745.00 Pay Ranges: The hiring rate of pay for the successful candidate
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the extent education is relevant to the position. Unique applicable skills. For more details, please visit Cornell website for Cornell Funded Postdocs Pay Range: $62,232.00 - $88,745.00 Pay Ranges: The hiring
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Procedure: 1. A cover letter that describes the interest in this position, desired goals for the postdoc, alignment of the candidate’s expertise with position requirements, and anticipated start date. 2
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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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Procedure: A cover letter that describes the interest in this position, desired goals for the postdoc, alignment of the candidate’s expertise with position requirements, and anticipated start date. Candidate
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that describes the interest in this position, desired goals for the postdoc, alignment of the candidate’s expertise with position requirements, and anticipated start date. Candidate CV, including
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, formal and informal Preferred Qualifications: Record of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software
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methods and software, including uncertainty methods, spatialized approaches, and integration with dynamic modeling frameworks. Experience applying or developing mechanistic animal models, and/or whole farm