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culture and optimization and large-scale protein expression and purification as well as biochemical analysis. Projects will enjoy fantastic access to a state-of-the-art in-house Cryo-EM facility featuring a
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techniques. Preference will be given to candidates with experience screening large yeast collections and computational biology expertise. Research Overview Polyploidy, or the presence of three or more sets of
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3) machine learning/deep learning, and (II) a related topic (e.g. Big Data or computing). About the Department The University of Minnesota School of Public Health improves the health and wellbeing
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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
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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
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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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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
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Regular Job Code 9546 Employee Class Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for up
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on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants