12 software-verification Postdoctoral positions at Cornell University in postdoctoral
-
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
-
, formal and informal Preferred Qualifications: Record of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software
-
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
-
analysis, adding new features or fixing bugs in existing software, and exploiting these tools to tackle frontier problems in materials physics. Additionally, the postdoctoral associate will benefit from
-
ability to register with Agile/Fleet Commander . Preferred Qualifications Competence with life cycle assessment methods and software, including uncertainty methods, spatialized approaches, and integration
-
ability to register with Agile/Fleet Commander . Preferred Qualifications Competence with life cycle assessment methods and software, including uncertainty methods, spatialized approaches, and integration
-
transportation agencies. The Postdoctoral Associate will join a multidisciplinary team of faculty, researchers, software developers, and agency partners, and will support ongoing deployment and expansion of tools
-
software [e.g., Xcalibur, Compound Discoverer, Skyline, TraceFinder]. Experience integrating multi-omics datasets (e.g., combining sequencing and metabolomics data). Experience with animal models of host
-
mixed methods research on related topics, including surveys, interviews, focus groups is preferred, but not required. Must have expertise in using statistical software such as STATA, R, SAS or SPSS
-
: Record of impactful scientific publications Experience designing and carrying out synchrotron x-ray experiments Proficiency with scientific software for advanced data analysis and/or experimental control