379 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at University of Pittsburgh
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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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understanding of operating room techniques and equipment such as invasive blood pressure monitoring, ECG, ETCO2, mechanical ventilation, TIVA, infusion and syringe pumps, cautery, and suction, Ability to learn
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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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, 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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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
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student body by fostering opportunities for involvement in student organizations, civic engagement, campus traditions, and co-curricular learning. Our mission is to empower students to discover their
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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
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arts students. - Fundraising & Sponsorships: Secure event sponsorships and cultivate corporate partnerships. - Experiential Learning: Engage employers in high-impact programs linking academics to career
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samples, analysis of single-cell data generated by 10´Genomics platform, BD Rhapsody, etc., Integration of multiple datasets for the new discoveries using machine learning approaches, perform data analysis
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, including developing quantitative and machine learning models using supervised and unsupervised techniques; Demonstrated experience leveraging high-dimensional player tracking or event data for player