428 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Pittsburgh
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for live performance. Instruction combines lectures, demonstrations, and project-based learning with hands-on studio work. Students gain foundational skills in hand-sewing, machine operation, fabric and
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learning, professional development, and career advancement. • Competitive Benefits: Enjoy a comprehensive benefits package, including health insurance, retirement plans, and paid time off. Ready to make a
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training and go-live processes to ensure smooth transitions to new clinical systems. • Ensure that projects adhere to institutional policies, data security, privacy standards, and relevant regulatory
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Koenigshoff and Das labs. The Das lab has developed a range of interpretable machine learning approaches including SLIDE. This new position will focus on - i) applying machine learning and computational systems
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evaluation of digital learning programs across Pitt’s 16 schools, providing centralized services such as market analysis, academic planning, recruitment, instructional design, technology integration, and
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(e.g. email, Microsoft Office, Zoom) and learn new systems (ex: electronic quality management systems such as Ideagen IQM or similar), be available to work weekends, evenings, and holidays, pass the
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-dimensional EMR-derived data, registry data, national and institutional and multicenter hepatology and transplant databases, prospective and retrospective cohort data, etc). • Develop and execute statistical
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and accurate laboratory notebook. Must be able to adapt experimental approaches based on weekly discussions with primary investigator and others. Data Analysis includes being able to learn computer
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, or PhD) - but preferably more than one - in Petroleum Engineering or Natural Gas Engineering and an ability to teach a wide range of courses at the undergraduate level. Specific courses include Rock and
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and command of English grammar and composition. Advanced computer skills with the ability to quickly learn new applications. Primarily a sedentary role with regular travel across Pitt’s Oakland campus