452 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" positions at University of Pittsburgh
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the guidance of the PI. The project aims to compare neural representations in artificial and biological neural networks. The candidate will learn to implement artificial neural networks, conduct
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the guidance of the PI. The project aims to understand the neural computation in context-dependent decision-making tasks using recurrent neural network models. The candidate will learn to train neural
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Program Coordinator - OLLI Engagement and Community Affairs - Pennsylvania-Pittsburgh - (26001312) The Program Coordinator will support the Osher Lifelong Learning Institute (OLLI), a membership
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of resources that strengthen the effectiveness of learning initiatives. Physical Effort Mostly sedentary computer/office work, some travel across regional partner sites, must be able to get to various offices
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their field through scholarship, professional practice, and leadership in professional and learned organizations. Applicants should submit a curriculum vitae and apply to requisition number 24000519 via: https
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five to seven years as Associate Professor. The rank of professor recognizes the attainment of authoritative knowledge and reputation in a recognized field of learning and the achievement of effective
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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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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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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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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