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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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, or field settings. Experience with molecular biology techniques such as DNA extraction, PCR, or qPCR. Experience analyzing biological data using command line tools, R, SAS, or similar analytical software
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cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs for research manuscripts, and
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within an interactive research group consisting of Cornell and agency scientist. Specifically, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate
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open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects
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handling IRBs. 4. Describe any relevant hands-on implementations skills pertaining to hardware, software, fabrication, and/or textile skills. 5. Elaborate on potential future directions for the project