436 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Pittsburgh in United States
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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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multimodal datasets Collaborate with teams to define project requirements and deliverables Contribute towards development, evaluation of machine learning models in digital healthcare Physical Effort This is
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Research Assistant LRDC - Pennsylvania-Pittsburgh - (26000875) This position is at the Learning Research and Development Center (LRDC), a multi-disciplinary center for research to advance
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Dispensary Clerk Dent Med-Dental Instruments - Pennsylvania-Pittsburgh - (25002503) This position requires basic computer skills, strong service orientation, and the ability to work as an effective
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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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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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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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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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, 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