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Previous Job Job Title Post-Doctoral Associate - Data-Driven Literacy Lab Next Job Apply for Job Job ID 368178 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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modeling for neurobiology, including finite element modeling (FEM) or system identification methods in medical applications About the Department The Department of Biomedical Engineering is an academic unit
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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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have a PhD in environmental engineering, earth or environmental engineering, or related fields, with a background in ecohydrology. Experience in ecohydrological modeling and remote sensing is desired
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-activated immunogenicity, scaled-up vector production, and assessment of AAV efficacy in pre-clinical animal models. The goal of our research is to ensure advancement of gene therapy treatment for patients
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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
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teaching methods to science or mathematics teaching at the college level • Masters in a science (e.g., biology, chemistry, chemical engineering, physics) or mathematics field or equivalent • Experience with
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experiments independently from start to finish, trouble shoots, and optimizes methods. Analyzes, interprets, and presents complex experimental results. Performs statistical analyses. Understands models
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mechanisms of fertility loss in females, the role of the microbiome in reproduction, susceptibility of hens to diseases including avian influenza, using organoid models to investigate reproductive function and
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scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith at the University of Minnesota and Audrey Sederberg