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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
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/Statistics, Medical/Health Informatics. Strong computational and programming skills with abilities to develop cutting-edge large-scale machine/deep learning algorithms using high-performance computing (HPC
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Previous Job Job Title Post-Doctoral Associate in Statistical Genetics/Omics Next Job Apply for Job Job ID 369329 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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of Health R01 DC017114. The goals of this grant are to understand the time course of listening effort, especially as it relates to listening with a cochlear implant. The PA is expected to focus on statistical
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traps, statistical analysis of animal behavior, and GIS/geospatial analysis. The task of the new team member will be to capture and radio collar foxes and coyotes in and around the Twin Cities Metro Area
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related to engineering specialized metabolite biosynthetic pathways Essential and Other Functions: (40%) molecular biology and microbiology (50%) Data analysis (10%) Prepare manuscripts and communications
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development and mentoring. The postdoctoral associate will be expected to write, develop, and submit manuscripts to scientific journals; and present research findings at 1-2 scientific meetings annually (e.g
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methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
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develop a non-credit Canvas course or similar with a statistics pre-test and related materials for pre-stats testing, training and support for incoming graduate students. The position requires expertise in
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or more of the following: ● Experience with urban watershed modeling or lake systems modeling ● Experience with limnological or aquatic field methods ● Experience with statistical methods for making