74 structural-reliability-analysis-"https:" Postdoctoral positions at Cornell University
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support for innovative and impactful scholarship. The position includes structured mentorship from Institute faculty, opportunities to lead collaborative projects, contribute as first authors on
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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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strong background in both materials physics and computation to join our Quantum Materials team. We seek candidates who are interested in developing cutting-edge tools for analysis of comprehensive single
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Quantitative genetic analysis of AMP allelic variation in natural populations Molecular evolutionary and population genetic analysis of AMPs in D. melanogaster and across the genus Drosophila Anticipated
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. Must be able to meet the travel requirements of the position and have reliable transportation as well as have and maintain a valid and unrestricted New York State driver’s license. Employees must be
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space exploration and life in extreme environments. The Santomartino Lab is committed to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular
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to supporting the Postdoctoral Associate’s career advancement. The PI will provide structured mentorship, regular feedback, support career growth, including networking opportunities, conference participation, and
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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with industry partners in climate risk assessment, focusing on: Development of novel approaches to synthetic storm generation Implementation of counterfactual analysis for historical storms Integration
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: The selected candidate will: Design, fabricate, and characterize advanced MEMS/NEMS test structures and integrated devices using Cornell NanoScale Facility processes, working closely with collaborators across