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, or other related fields plus two years of experience or a combination of education and work experience to equal at least six years Strong verbal and written communication skills Computer experience required
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-workers and collaborators. • Demonstrated experience in safely operating and maintaining 4x4 vehicles, small research boats, power tools, field and lab equipment. • Ability to use a computer, spreadsheets
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to assess skill and capability gaps within the division support and coordinate with peers on possible group training initiatives. Plans and facilitates team-building activities, training and learning
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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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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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the college admission process ● Strong written, computer and verbal skills ● Must show clear understanding of safety of minors ● Must pass background check ● A cover letter is required to be considered
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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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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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/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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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