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the Teamsters Bargaining Unit. Job duties Daily cleaning in an academic setting (80%) Includes scrubbing floors with scrubbing machine, mopping floors, stripping and waxing floors, vacuuming and extracting
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Khani. Job Duties: Developing new models, optimization algorithms, and machine learning algorithms for transportation systems and services (40%). Applying the models and algorithms to new transportation
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one or more years of research experience Experience with learning analytics or machine learning research, as well as eye tracking expertise Proficiency with managing data sets. Ability to collaborate
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records, following the University’s policies and best practices. Coordinate the Academics Team and Learning Resources Group in implementing annual updates to the student handbooks. Schedule and prepare
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(National registry or MN) PA or RN licensure or other related experience (military medic, sonograpgher) 3 years experience in an advanced patient care setting (EMS or Emergency Medicine preferred) Flexible
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, strategic budgeting and facilities management Strong computer skills and experience in Word, Excel, database management and reporting in a computer network environment Evidence of experience in writing
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statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
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digitally stored on the server Clean out office space and set up new furniture and computer work stations Organize research files for long-term storage Set up special events such as graduation, etc
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/communications, and IT. This includes utilizing data located from within the DMS, UMN mass-email platform, the Foundation data warehouse, PeopleSoft, and other externally sourced data. By using statistics, machine
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entered in database by graduate students and address errors or concerns. Keeps inventory of all computer equipment and usage; coordinates equipment updates Provides troubleshooting, verification, testing