145 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Minnesota
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. 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 presumption is
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, age, 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
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of additional related tasks including tasks typically performed by a lower classification. • Washes service ware, pots and pans by hand or using dishwashing machine • Maintains cleanliness in dining room
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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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and meet deadlines Demonstrated knowledge of NCAA, CSC and B1G rules Computer, word processing and database experience Demonstrated highest level of integrity and professionalism Experience in having
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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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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 the successful
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an educational setting, including low-income and first-generation high school students Supervisory experience. Strong database and computer proficiency Preferred Qualifications Minimum of four years of experience
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of the machine-learning assay in other worm phenotypes. Principal Duties and Responsibilities: 50% Strain maintenance & life history analysis Maintain C. elegans strains, perform genetic crosses and characterize
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web-based central database using a laptop computer. Maintain relationships with sources and answer data collection methodology-related questions from educational and clinical agencies. Database