83 data-assimilation Postdoctoral positions at University of Minnesota in United States
Sort by
Refine Your Search
-
Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
-
applications from diverse candidates and are committed to creating an inclusive and supportive research environment. Job Responsibilities Data Analysis and Publication (50%) Test hypothesis around developmental
-
of Minnesota is seeking two postdoctoral research associates to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process
-
of the Minnesota Population Center (MPC), in the Institute for Social Research and Data Innovation (ISRDI), at the University of Minnesota. RESPONSIBILITIES Specific responsibilities include conducting empirical
-
and disease prevention for diverse communities in Minnesota and beyond. More information may be found at https://med.umn.edu/fmch/physical-therapy . The mission of the Rehabilitation Science Graduate
-
regions of Minnesota. Part of this experiment has already been established and will continue for at least two additional years. The postdoc will lead data collection (for paper birch), statistical analysis
-
and then model their space use and behavioral patterns. The post-doctoral researcher will also be responsible for coordinating a team to deploy and monitor behavioral playback cameras, developing a data
-
development, and disseminate results at conferences. This position will work Monday-Friday with weekends as needed. Expected distribution of duties includes: ● 75%: Laboratory benchwork ● 25%: Data analysis
-
analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
-
the specific aims of the USDA-NIFA grant and obtain preliminary results for a competitive renewal. Successful execution of these experiments is necessary to accumulate data to enable publication of project