145 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Minnesota
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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 offer of employment
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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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effectively with people from a variety of communities, backgrounds, and identities Advanced skills with computer software on PC or Mac (i.e. Microsoft Office, Google Suite) and financial software and tools
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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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artificial intelligence and/or machine learning, digital health, wearables, etc. Contribute to Epidemiology curriculum development, teach epidemiologic methods as part of the Epidemiology PhD methods sequence
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Previous Job Job Title Machine Learning Researcher Next Job Apply for Job Job ID 371407 Location Twin Cities Job Family Supplemental Employee Full/Part Time Part-Time Regular/Temporary Temporary Job
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. Wash walls, scrub floors with a heavy-duty machine, strip hard floors, apply finish, pick up water with wet/dry vacuum, sweep, dust and wet mop. Clean carpeting with commercial type vacuum cleaner, use
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, 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 the successful completion of a
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methods, survival and time-to-event analyses, time-series modeling, and machine learning and decision tree-based approaches Proficiency in statistical software such as Stata, R, SAS, and/or SPSS Prior
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technology (e.g., computer and projector), and ensuring instructional materials are accessible Coordinate with program staff to confirm logistics, troubleshoot equipment, and provide an optimal learning