70 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "University of St" Postdoctoral research jobs at University of Minnesota in United States
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professional development: 35% The incumbent will also engage in training and research development activities, as determined in consultation with a faculty mentor. The postdoctoral associate will work with
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the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees
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three years Effective written and oral communication in English Proficiency in Microsoft Office, including Word, Excel, and PowerPoint Valid U.S. driver’s license issued by a U.S. state or territory
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: Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management. Ranked nationally by the U.S. News & World Report as the #6 public school
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any
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translational breast cancer research. We use cell culture and animal models to examine molecular mechanisms regulating the development and progression of breast cancer with a specific focus on the tumor
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isolation, ALI culture, immune priming assays, and functional barrier measurements. This position provides strong professional development opportunities in epithelial immunology, respiratory biology, advanced
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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Role You will develop and apply mathematical models and computational algorithms to analyze the structure and evolution of scientific literature. An ideal candidate would bring deep mathematical maturity