10 software-verification Postdoctoral positions at Cornell University in United States
Sort by
Refine Your Search
-
Listed
-
Field
-
ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software. • Experience working with
-
. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs for research
-
. • Knowledge of ecology and ecological systems. • Knowledge of urban ecosystems and urban ecology is preferred. • Experience with R, Python, or other programming languages, as well as QGIS/ESRI spatial software
-
studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs
-
-on implementations skills pertaining to hardware, software, fabrication, and/or textile skills. 5. Elaborate on potential future directions for the project on digitally knit robotic textile interfaces for edema
-
conducting user studies and handling IRBs. 4. Describe any relevant hands-on implementations skills pertaining to hardware, software, fabrication, and/or textile skills. 5. Elaborate on potential future
-
studies. Responsibilities include cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs
-
performance. The project aims to advance an interdisciplinary analysis of the implications of emerging technologies for Monitoring, Reporting and Verification (MRV) applied to GHG emissions reductions in
-
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
-
, human-systems interactions, networks science, information, decision complex networks, dynamic data-driven application systems, the science of information computation and fusion, systems and software