760 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Minnesota
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time off Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program Low-cost medical, dental, and pharmacy plans
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attention to detail and consistent documentation practices when writing statistical code. Willingness to learn and develop new programming and analytic skills and to work with a wide range of new data sources
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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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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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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 background check. Our
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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 background
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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 background check. Our
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classifications. Learn more about retirement plans . How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be
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with—or a strong motivation to rapidly learn—machine learning techniques, particularly for real-time or large-scale data processing Preferred: Proficiency in Python and familiarity with Rust or other
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Appointment: 25% Appointment Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual classifications. Learn more about retirement