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. Emphasis is placed on artificial intelligence/machine learning approaches applied to digital data and multi-omics data. Additional responsibilities include mentoring students, collaborating with faculty
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-oriented Preferred Qualifications Proficiency in molecular biology techniques and directed evolution Experience with mechanistic modeling and/or machine learning/artificial intelligence to guide protein or
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the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities. The successful candidate will conduct advanced research at the intersection of artificial intelligence and
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job About the Job: Professor Alireza Khani’s Transit Lab (http://umntransit.weebly.com) has a post-doctoral associate position
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an environment of inclusion and belonging. Engagement with new technologies, such as artificial intelligence, in classroom teaching and the study of ethics in its use is a plus. About the Department The Hubbard
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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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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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, marital status, 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
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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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, artificial intelligence (AI), and veterinary medicine, building upon the College’s existing strengths in genetics, genomics and infectious diseases while expanding into new areas of computational discovery