420 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" uni jobs at University of Pittsburgh
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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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or more of the following areas: Environmental humanities Legacies of colonialism and modernity Legacies and politics of violation Migration U.S. influence and interactions with diasporic communities
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direction from faculty. As a member of the broader Instrument Management Service staff, the incumbent will also be expected to learn and participate in all phases of preventive maintenance of instrumentation
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HERL Clinical Research Coordinator Med-Human Engineering Research Laboratories - Pennsylvania-Pittsburgh - (26000465) The University of Pittsburgh/U.S. Department of Veterans Affairs (VA) Human
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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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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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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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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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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