405 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" 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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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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positions offer highly competitive salaries and generous benefits. Interested candidates should apply to Requisition # 23003551 at https://www.join.pitt.edu/ . The University of Pittsburgh is an equal
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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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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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inputs a variety of data into a computer, detecting and correcting errors. Verifies others' work. Prepares reports and data visualizations for analysis. Resolves issues as needed. Essential Functions
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, competing risks, longitudinal and repeated- measures models, causal inference, propensity-based methods, etc). Although experience with machine learning and generative AI is desirable, it is not required
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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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innovative services to support teaching, learning, research, and administrative functions at the University. We are committed to leveraging resources to enhance the experience of students, faculty, and staff