-
the analysis of massive datasets. Extensive experience in signal processing and advanced statistical inference (e.g., Bayesian statistics, Fourier analysis) for extracting robust patterns from noisy, high
-
or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
-
adapt to ever changing needs Preferred Qualifications: ● Research experience in natural language processing on biomedical and/or clinical texts, computer vision on medical images, causal inference
-
Leader - Work collaboratively with other staff and researchers - Troubleshoot experiments - Operate all related specialized instrumentation and technologies - Track multiple concurrent projects b) Data
-
locations in MN as well as nationally) as well as the lab (meso- and microcosm experiments tracking microbial population and community dynamics as well as ecosystem function) settings. The postdoc will be
-
international applicants with a proven track record. Qualifications Required Qualifications: • Ph.D. degree in the life sciences or engineering with a strong background in molecular, cellular, or systems