50 modal-analysis-artificial-intelligence Postdoctoral positions at University of Minnesota
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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
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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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culture, plasmid preparation, cloning, protein purification and enzymatic assays. The position will also lead data analysis and preparation of reports for presentation, manuscript or patent applications
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• Data Analysis and determination of next steps • Literature Review • Record keeping • Cell culture, tissue culture, microscopy • Viral Vector design 10% Scientific Writing and Presentations • Develop and
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studies and tissue sample collections and analysis Perform all phases of experimental investigations in consultation with the faculty advisor(s) Collaborate with other researchers in the collaborative
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evaluate experimental guinea pig and mouse models of viral infection and placental/fetal development Collection and analysis of experimental animal’s organs and tissues Bacterial and viral cultivations
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grant writing, research design, data collection, data analysis and dissemination. Candidates with interests in health equity, capacity building, knowledge translation, community-based participatory
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hypoglossal nerve recordings or EMG recordings of respiratory muscles, and immunohistochemistry analysis using Image J or Imaris software. Our team works within a vibrant research community at the University
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: 100% Laboratory research • Perform experiments at the bench level to support investigative work (DNA/RNA isolation and analysis, protein isolation and SDS-PAGE analysis, standard molecular biology
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. Expected distribution of duties includes: ● Laboratory benchwork: 75% ● Data analysis, writing, and presentations: 25% Qualifications Required Qualifications: ● A PhD degree in Neuroscience or a related